Create your page here
Sunday, 28 June 2015
add
add longest videos
Loading...
Loading...
Loading...
Loading...
Branches of Mathematics
Pure mathematics
Applied mathematics
- Dynamical systems and differential equations
- Mathematical physics
- Computing
- Information theory and signal processing
- Probability and statistics
- Game theory
- Operations research
Related Topics
- Electromagnetic Spectrum
- Linear Equations
- Applied Physics
- Nano Technology
- Engineering Sciences
- Mathematical Medicine
- Fluid dynamics
- Computational Mathematics
- Gamma Ray Optics
- Onfrared Optics
- Relative Velocity
- Iciam
- Intelligent Imaging Neuroscience
- Biomedical Engineering
- Neuroscience Research
- Quantum Cosmology
- Brain Research
Open Collage in a new Window
Email the Collage
Signal processing is an area of systems engineering, electrical engineering and applied mathematics that deals with operations on or analysis of signals, in either discrete or continuous time. Signals of interest can include sound, images, time-varying measurement values and sensor data, for example biological data such as electrocardiograms, control system signals, telecommunication transmission signals, and many others. Signals are analog or digital electrical representations of time-varying or spatial-varying physical quantities.
Processing of signals includes the following operations and algorithms with application examples:
In communication systems, signal processing may occur at OSI layer 1, the Physical Layer (modulation, equalization, multiplexing, etc.) in the seven layer OSI model, as well as at OSI layer 6, the Presentation Layer (source coding, including analog-to-digital conversion and data compression).
According to Alan V. Oppenheim and Ronald W. Schafer, the principles of signal processing can be found in the classical numerical analysis techniques of the 17th century. They further state that the "digitalization" or digital refinement of these techniques can be found in the digital control systems of the 1940s and 1950s.
This page contains text from Wikipedia, the Free Encyclopedia -
http://en.wikipedia.org/wiki/Signal_processing
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
Information theory is a branch of applied mathematics and electrical engineering involving the quantification of information. Information theory was developed by Claude E. Shannon to find fundamental limits on signal processing operations such as compressing data and on reliably storing and communicating data. Since its inception it has broadened to find applications in many other areas, including statistical inference, natural language processing, cryptography generally, networks other than communication networks — as in neurobiology, the evolution and function of molecular codes, model selection in ecology, thermal physics,quantum computing, plagiarism detection and other forms of data analysis.
A key measure of information is known as entropy, which is usually expressed by the average number of bits needed to store or communicate one symbol in a message. Entropy quantifies the uncertainty involved in predicting the value of a random variable. For example, specifying the outcome of a fair coin flip (two equally likely outcomes) provides less information (lower entropy) than specifying the outcome from a roll of a die (six equally likely outcomes).
This page contains text from Wikipedia, the Free Encyclopedia -
http://en.wikipedia.org/wiki/Information_theory
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
This article is licensed under the Creative Commons Attribution-ShareAlike 3.0 Unported License, which means that you can copy and modify it as long as the entire work (including additions) remains under this license.
- Loading...
Loading suggestions ...
-
Information Theory and Neural Coding - Part 1, by Adam Schneider
Information Theory and Neural Coding - Part 1, by Adam Schneider -
Information Theory Today: ECE Lecturer Series
Information Theory Today: ECE Lecturer SeriesInformation Theory Today: ECE Lecturer Series
Founded by Claude Shannon in 1948, information theory has taken on renewed vibrancy with technological advances that pave the way for attaining the fundament... -
Compressed Sensing Meets Information Theory
Compressed Sensing Meets Information TheoryCompressed Sensing Meets Information Theory
Google Tech Talk October 7, 2009 ABSTRACT Presented by Dror Baron, Visiting Scientist, Technion - Israel Institute of Technology. Traditional signal acquisit... -
Signal Processing chapter 08 Classical modulation
Signal Processing chapter 08 Classical modulationSignal Processing chapter 08 Classical modulation
Transmission media; Modulation with sinusoidal carriers; Amplitude modulation and demodulation; Single sideband modulation; Modulation without carrier; Frequ... -
Signal Processing Tutorial: Nyquist Sampling Theorem and Anti-Aliasing (Part 1)
Signal Processing Tutorial: Nyquist Sampling Theorem and Anti-Aliasing (Part 1)Signal Processing Tutorial: Nyquist Sampling Theorem and Anti-Aliasing (Part 1)
http://www.FreedomUniversity.TV These videos are part of a series of videos in engineering. Here we talked about the Nyquist Sampling Theoremm Anti-Aliasing ... -
Discrete signal processing on graphs: graph signal inpainting
Discrete signal processing on graphs: graph signal inpaintingDiscrete signal processing on graphs: graph signal inpainting
For more details, please refer: http://gu.ee.tsinghua.edu.cn/ Abstract: Massive data, generated from various networks, such as social, economics, neuroscien... -
Signal Processing and Communications for Sensor Networks
Signal Processing and Communications for Sensor NetworksSignal Processing and Communications for Sensor Networks
Google Tech Talks April 1, 2009 ABSTRACT Presented by Martin Vetterli A sensor network is a spatio-temporal sampling device with a wireless communications in... -
Master (MSc) Degree in Communication Engineering, University of Manchester
Master (MSc) Degree in Communication Engineering, University of ManchesterMaster (MSc) Degree in Communication Engineering, University of Manchester
This course delivers up-to-date topics on communications and microwave engineering. It covers wide-ranging and in-depth materials including digital communica... -
Aliasing in Sampled Systems
Aliasing in Sampled SystemsAliasing in Sampled Systems
An intuitive approach to understanding aliasing in sampled systems using a strobe-sampled helicopter rotor as a demonstration. For more information visit htt... -
Information bottleneck-based relevant knowledge representation
Information bottleneck-based relevant knowledge representationInformation bottleneck-based relevant knowledge representation
A novel representation technique for sparse information, based on information theory.Through Information Bottleneck paradigm the optimal data representation ... -
Bandwidth (signal processing)
Bandwidth (signal processing)Bandwidth (signal processing)
Bandwidth is the difference between the upper and lower frequencies in a continuous set of frequencies. It is typically measured in hertz, and may sometimes ... -
Introduction to Estimation Theory
Introduction to Estimation TheoryIntroduction to Estimation Theory
General notion of estimating a parameter and measures of estimation quality including bias, variance, and mean-squared error. -
Digital Signal Processing Lecture 3
Digital Signal Processing Lecture 3Digital Signal Processing Lecture 3
Learn the fundamentals of digital signal processing theory and discover the myriad ways DSP makes everyday life more productive and fun. Course Syllabus Broad outline of the topics covered in the class: Introduction: What is signal processing, history of the topic, application examples. Discrete-time (DT) signals: the discrete-time complex exponential, and a computer music synthesis example. Euclid and Hilbert: Signal processing as geometry, vectors spaces, bases, approximations. Fourier Analysis: The discrete Fourier transform (DFT) and series (DFS). The discrete-time Fourier transform (DTFT). Examples. The fast Fourier transform algorithm -
Prof. Raj Nadakuditi - Signals and Noise
Prof. Raj Nadakuditi - Signals and NoiseProf. Raj Nadakuditi - Signals and Noise
Prof. Nadakuditi's research involves statistical signal processing, random matrix theory, random graphs and light transport through opaque random media. He k...
- Adaptive filter
- Alan V. Oppenheim
- Analog delay line
- Applied mathematics
- Array processing
- Calculus
- Circular buffer
- Compandor
- Computer
- Computer vision
- Control system
- Correlation
- Data compression
- Data mining
- Delay line
- Denoising
- Detection theory
- Digital delay line
- Digitization
- Echo-cancellation
- Electric current
- Electrocardiogram
- Electromagnetic wave
- Electronic filter
- Electronic mixer
- Equalization
- Equalization filter
- Estimation theory
- Feature extraction
- Floating-point
- Frequency mixer
- Functional analysis
- Image compression
- Image enhancement
- Image processing
- Integrator
- Iterative methods
- Kalman filter
- Linear algebra
- Look-up table
- Modem
- Modulation
- Multiplexer
- Multiplexing
- Numerical analysis
- OFDM
- OSI model
- Passive filter
- Pattern recognition
- Phase-locked loop
- Physical Layer
- Prediction
- Prentice Hall
- Presentation Layer
- Probability
- Quantization error
- Reverb
- Ronald W. Schafer
- Sample and hold
- Sensor
- Signal (electronics)
- Signal processing
- Signal subspace
- Signalling theory
- Smoothing
- Source coding
- Spectrum analyzer
- Speech recognition
- Spread spectrum
- Stochastic processes
- Synthesizer
- Systems engineering
- Transducer
- Transform theory
- Vector spaces
- Video processing
- Voltage
- Waveform
- Wavetable synthesis
- Wiener filter
- Alan Turing
- Andrey Kolmogorov
- Anthony Wilden
- Buckminster Fuller
- Claude Bernard
- Cliff Joslyn
- Erich von Holst
- Fazlollah Reza
- Francis Heylighen
- Francisco Varela
- Frederic Vester
- Gordon Pask
- Harry Nyquist
- Heinz von Foerster
- Hubert Yockey
- Humberto Maturana
- Igor Aleksander
- Jacque Fresco
- Jakob von Uexküll
- James Gleick
- Jay Wright Forrester
- Kevin Warwick
- Ludwig Boltzmann
- Niklas Luhmann
- Norbert Wiener
- Ralph Hartley
- Robert Trappl
- Rolf Landauer
- Stuart Kauffman
- Stuart Umpleby
- Talcott Parsons
- Valentin Turchin
- Walter Pitts
- William Ross Ashby
-
Information Theory and Neural Coding - Part 1, by Adam Schneider
Information Theory and Neural Coding - Part 1, by Adam SchneiderInformation Theory and Neural Coding - Part 1, by Adam Schneider
Information theory, developed by Claude Shannon in 1949, provides mathematically rigorous tools to quantify the precision with which a systems output contain... -
Information Theory Today: ECE Lecturer Series
Information Theory Today: ECE Lecturer SeriesInformation Theory Today: ECE Lecturer Series
Founded by Claude Shannon in 1948, information theory has taken on renewed vibrancy with technological advances that pave the way for attaining the fundament... -
Compressed Sensing Meets Information Theory
Compressed Sensing Meets Information TheoryCompressed Sensing Meets Information Theory
Google Tech Talk October 7, 2009 ABSTRACT Presented by Dror Baron, Visiting Scientist, Technion - Israel Institute of Technology. Traditional signal acquisit... -
Signal Processing chapter 08 Classical modulation
Signal Processing chapter 08 Classical modulationSignal Processing chapter 08 Classical modulation
Transmission media; Modulation with sinusoidal carriers; Amplitude modulation and demodulation; Single sideband modulation; Modulation without carrier; Frequ... -
Signal Processing Tutorial: Nyquist Sampling Theorem and Anti-Aliasing (Part 1)
Signal Processing Tutorial: Nyquist Sampling Theorem and Anti-Aliasing (Part 1)Signal Processing Tutorial: Nyquist Sampling Theorem and Anti-Aliasing (Part 1)
http://www.FreedomUniversity.TV These videos are part of a series of videos in engineering. Here we talked about the Nyquist Sampling Theoremm Anti-Aliasing ... -
Discrete signal processing on graphs: graph signal inpainting
Discrete signal processing on graphs: graph signal inpaintingDiscrete signal processing on graphs: graph signal inpainting
For more details, please refer: http://gu.ee.tsinghua.edu.cn/ Abstract: Massive data, generated from various networks, such as social, economics, neuroscien... -
Signal Processing and Communications for Sensor Networks
Signal Processing and Communications for Sensor NetworksSignal Processing and Communications for Sensor Networks
Google Tech Talks April 1, 2009 ABSTRACT Presented by Martin Vetterli A sensor network is a spatio-temporal sampling device with a wireless communications in... -
Master (MSc) Degree in Communication Engineering, University of Manchester
Master (MSc) Degree in Communication Engineering, University of ManchesterMaster (MSc) Degree in Communication Engineering, University of Manchester
This course delivers up-to-date topics on communications and microwave engineering. It covers wide-ranging and in-depth materials including digital communica... -
Aliasing in Sampled Systems
Aliasing in Sampled SystemsAliasing in Sampled Systems
An intuitive approach to understanding aliasing in sampled systems using a strobe-sampled helicopter rotor as a demonstration. For more information visit htt... -
Information bottleneck-based relevant knowledge representation
Information bottleneck-based relevant knowledge representationInformation bottleneck-based relevant knowledge representation
A novel representation technique for sparse information, based on information theory.Through Information Bottleneck paradigm the optimal data representation ... -
Bandwidth (signal processing)
Bandwidth (signal processing)Bandwidth (signal processing)
Bandwidth is the difference between the upper and lower frequencies in a continuous set of frequencies. It is typically measured in hertz, and may sometimes ... -
Introduction to Estimation Theory
Introduction to Estimation TheoryIntroduction to Estimation Theory
General notion of estimating a parameter and measures of estimation quality including bias, variance, and mean-squared error. -
Digital Signal Processing Lecture 3
Digital Signal Processing Lecture 3Digital Signal Processing Lecture 3
Learn the fundamentals of digital signal processing theory and discover the myriad ways DSP makes everyday life more productive and fun. Course Syllabus Broad outline of the topics covered in the class: Introduction: What is signal processing, history of the topic, application examples. Discrete-time (DT) signals: the discrete-time complex exponential, and a computer music synthesis example. Euclid and Hilbert: Signal processing as geometry, vectors spaces, bases, approximations. Fourier Analysis: The discrete Fourier transform (DFT) and series (DFS). The discrete-time Fourier transform (DTFT). Examples. The fast Fourier transform algorithm -
Prof. Raj Nadakuditi - Signals and Noise
Prof. Raj Nadakuditi - Signals and NoiseProf. Raj Nadakuditi - Signals and Noise
Prof. Nadakuditi's research involves statistical signal processing, random matrix theory, random graphs and light transport through opaque random media. He k... -
2013 SA Pearcey Enterpreneur - Dr Alex Grant
2013 SA Pearcey Enterpreneur - Dr Alex Grant2013 SA Pearcey Enterpreneur - Dr Alex Grant
Alex Grant is the Director of the Institute for Telecommunications Research at the University of South Australia. He has lead the Coding and Information Theo... -
CMSV-DLS - 140305 with Vincent Poor
CMSV-DLS - 140305 with Vincent PoorCMSV-DLS - 140305 with Vincent Poor
Abstract: Smart grid involves the imposition of an advanced cyber layer atop the physical layer of the electricity grid in order to improve the efficiency an... -
CERIAS Security: John Oritz: Steganography 2/6
CERIAS Security: John Oritz: Steganography 2/6CERIAS Security: John Oritz: Steganography 2/6
Clip 2/6 Speaker: John Oritz · SRA International Steganography is a discipline of computer science whose aim is to conceal the existence of information. Steg... -
CERIAS Security: John Oritz: Steganography 4/6
CERIAS Security: John Oritz: Steganography 4/6CERIAS Security: John Oritz: Steganography 4/6
Clip 4/6 Speaker: John Oritz · SRA International Steganography is a discipline of computer science whose aim is to conceal the existence of information. Steg... -
CERIAS Security: John Oritz: Steganography 6/6
CERIAS Security: John Oritz: Steganography 6/6CERIAS Security: John Oritz: Steganography 6/6
Clip 6/6 Speaker: John Oritz · SRA International Steganography is a discipline of computer science whose aim is to conceal the existence of information. Steg... -
Recent Trends in Femtocell Research
Recent Trends in Femtocell ResearchRecent Trends in Femtocell Research
Abstract: Femtocells have not only gained industrial attraction, but are also of increasing interest to the academic community. This is mainly due to the eno... -
MIMO Wireless Communication PPT Presentation
MIMO Wireless Communication PPT PresentationMIMO Wireless Communication PPT Presentation
MIMO Wireless Communication PPT Presentation: MIMO is an important trend that shapes the future of wireless communication systems MIMO is a multidisciplinary... -
Information theory: Entropy
Information theory: EntropyInformation theory: Entropy
An explanation of entropy in information theory and how to calculate it. (The last video ran long, so I had to slice it up.) More on information theory: http... -
CTTC coorganizes the ISWCS'2014
CTTC coorganizes the ISWCS'2014CTTC coorganizes the ISWCS'2014
The aim of this symposium is to provide a forum for researchers and technologists to present new ideas and contributions in the form of technical papers, panel discussions as well as real-world evaluation of many ideas in wireless communications, networking and signal processing employed to support the needs of the Information Society. This eleventh symposium will bring together various wireless communication systems developers to discuss the current status, technical challenges, standards, fundamental issues, and future services and applications. ISWCS'14 seeks to address and capture highly-innovative and state-of-the-art research from acade
Information Theory and Neural Coding - Part 1, by Adam Schneider
- Order: Reorder
- Duration: 32:06
- Updated: 15 Aug 2014
- author: CAMBAM Students
Information theory, developed by Claude Shannon in 1949, provides mathematically rigorous tools to quantify the precision with which a systems output contain...
http://wn.com/Information_Theory_and_Neural_Coding_-_Part_1,_by_Adam_Schneider
Information theory, developed by Claude Shannon in 1949, provides mathematically rigorous tools to quantify the precision with which a systems output contain...
- published: 08 Jul 2013
- views: 775
- author: CAMBAM Students
Information Theory Today: ECE Lecturer Series
- Order: Reorder
- Duration: 56:01
- Updated: 25 Aug 2014
- author: UnivDelaware
Founded by Claude Shannon in 1948, information theory has taken on renewed vibrancy with technological advances that pave the way for attaining the fundament...
http://wn.com/Information_Theory_Today_ECE_Lecturer_Series
Founded by Claude Shannon in 1948, information theory has taken on renewed vibrancy with technological advances that pave the way for attaining the fundament...
- published: 11 Sep 2012
- views: 5468
- author: UnivDelaware
Compressed Sensing Meets Information Theory
- Order: Reorder
- Duration: 69:22
- Updated: 31 Aug 2014
- author: GoogleTechTalks
Google Tech Talk October 7, 2009 ABSTRACT Presented by Dror Baron, Visiting Scientist, Technion - Israel Institute of Technology. Traditional signal acquisit...
http://wn.com/Compressed_Sensing_Meets_Information_Theory
Google Tech Talk October 7, 2009 ABSTRACT Presented by Dror Baron, Visiting Scientist, Technion - Israel Institute of Technology. Traditional signal acquisit...
- published: 09 Oct 2009
- views: 24742
- author: GoogleTechTalks
Signal Processing chapter 08 Classical modulation
- Order: Reorder
- Duration: 17:13
- Updated: 24 Mar 2014
- author: Ulrich Karrenberg
Transmission media; Modulation with sinusoidal carriers; Amplitude modulation and demodulation; Single sideband modulation; Modulation without carrier; Frequ...
http://wn.com/Signal_Processing_chapter_08_Classical_modulation
Transmission media; Modulation with sinusoidal carriers; Amplitude modulation and demodulation; Single sideband modulation; Modulation without carrier; Frequ...
- published: 14 Nov 2012
- views: 262
- author: Ulrich Karrenberg
Signal Processing Tutorial: Nyquist Sampling Theorem and Anti-Aliasing (Part 1)
- Order: Reorder
- Duration: 5:21
- Updated: 07 Aug 2014
- author: John Santiago
http://www.FreedomUniversity.TV These videos are part of a series of videos in engineering. Here we talked about the Nyquist Sampling Theoremm Anti-Aliasing ...
http://wn.com/Signal_Processing_Tutorial_Nyquist_Sampling_Theorem_and_Anti-Aliasing_(Part_1)
http://www.FreedomUniversity.TV These videos are part of a series of videos in engineering. Here we talked about the Nyquist Sampling Theoremm Anti-Aliasing ...
- published: 19 Jan 2008
- views: 43107
- author: John Santiago
Discrete signal processing on graphs: graph signal inpainting
For more details, please refer: http://gu.ee.tsinghua.edu.cn/ Abstract: Massive data, generated from various networks, such as social, economics, neuroscien...
http://wn.com/Discrete_signal_processing_on_graphs_graph_signal_inpainting
For more details, please refer: http://gu.ee.tsinghua.edu.cn/ Abstract: Massive data, generated from various networks, such as social, economics, neuroscien...
- published: 25 May 2014
- views: 119
- author: 谷实验室
Signal Processing and Communications for Sensor Networks
- Order: Reorder
- Duration: 54:35
- Updated: 07 Mar 2014
- author: GoogleTechTalks
Google Tech Talks April 1, 2009 ABSTRACT Presented by Martin Vetterli A sensor network is a spatio-temporal sampling device with a wireless communications in...
http://wn.com/Signal_Processing_and_Communications_for_Sensor_Networks
Google Tech Talks April 1, 2009 ABSTRACT Presented by Martin Vetterli A sensor network is a spatio-temporal sampling device with a wireless communications in...
- published: 03 Apr 2009
- views: 11697
- author: GoogleTechTalks
Master (MSc) Degree in Communication Engineering, University of Manchester
- Order: Reorder
- Duration: 5:37
- Updated: 08 May 2014
- author: EEEManchester
This course delivers up-to-date topics on communications and microwave engineering. It covers wide-ranging and in-depth materials including digital communica...
http://wn.com/Master_(MSc)_Degree_in_Communication_Engineering,_University_of_Manchester
This course delivers up-to-date topics on communications and microwave engineering. It covers wide-ranging and in-depth materials including digital communica...
- published: 28 Sep 2010
- views: 1365
- author: EEEManchester
Aliasing in Sampled Systems
- Order: Reorder
- Duration: 22:05
- Updated: 11 Feb 2014
- author: Eric Jacobsen
An intuitive approach to understanding aliasing in sampled systems using a strobe-sampled helicopter rotor as a demonstration. For more information visit htt...
http://wn.com/Aliasing_in_Sampled_Systems
An intuitive approach to understanding aliasing in sampled systems using a strobe-sampled helicopter rotor as a demonstration. For more information visit htt...
- published: 02 Jun 2013
- views: 357
- author: Eric Jacobsen
Information bottleneck-based relevant knowledge representation
- Order: Reorder
- Duration: 9:10
- Updated: 22 Dec 2013
- author: Information and Signal Processing for Cognitive Telecommunications (ISIP40)
A novel representation technique for sparse information, based on information theory.Through Information Bottleneck paradigm the optimal data representation ...
http://wn.com/Information_bottleneck-based_relevant_knowledge_representation
A novel representation technique for sparse information, based on information theory.Through Information Bottleneck paradigm the optimal data representation ...
- published: 04 Nov 2013
- views: 172
- author: Information and Signal Processing for Cognitive Telecommunications (ISIP40)
Bandwidth (signal processing)
- Order: Reorder
- Duration: 9:00
- Updated: 28 Aug 2014
- author: Audiopedia
Bandwidth is the difference between the upper and lower frequencies in a continuous set of frequencies. It is typically measured in hertz, and may sometimes ...
http://wn.com/Bandwidth_(signal_processing)
Bandwidth is the difference between the upper and lower frequencies in a continuous set of frequencies. It is typically measured in hertz, and may sometimes ...
- published: 28 Aug 2014
- views: 4
- author: Audiopedia
Introduction to Estimation Theory
- Order: Reorder
- Duration: 12:30
- Updated: 20 Aug 2014
- author: Barry Van Veen
General notion of estimating a parameter and measures of estimation quality including bias, variance, and mean-squared error.
http://wn.com/Introduction_to_Estimation_Theory
General notion of estimating a parameter and measures of estimation quality including bias, variance, and mean-squared error.
- published: 08 Apr 2013
- views: 6993
- author: Barry Van Veen
Digital Signal Processing Lecture 3
- Order: Reorder
- Duration: 23:39
- Updated: 17 Nov 2014
Learn the fundamentals of digital signal processing theory and discover the myriad ways DSP makes everyday life more productive and fun.
Course Syllabus
Broad outline of the topics covered in the class:
Introduction: What is signal processing, history of the topic, application examples.
Discrete-time (DT) signals: the discrete-time complex exponential, and a computer music synthesis example.
Euclid and Hilbert: Signal processing as geometry, vectors spaces, bases, approximations.
Fourier Analysis: The discrete Fourier transform (DFT) and series (DFS). The discrete-time Fourier transform (DTFT). Examples. The fast Fourier transform algorithm (FFT).
Linear Filters: Linear time-invariant systems, convolution, ideal and realizable filters. Filter design and implementation, examples.
Interpolation and Sampling: Continuous-time (CT) signals, interpolation, sampling. The sampling theorem as orthonormal basis expansion. Processing of CT signals in DT.
Stochastic Signal Processing and Quantization: Stochastic signals, quantization, analog-to-digital (ADC) and digital-to-analog (DAC) conversion.
Image Processing: Introduction to image processing and two-dimensional (2D) Fourier analysis. Filtering and compression. The JPEG compression standard.
Digital Communication Systems: Analog channels and bandwidth/power constraints. Modulation and demodulation. Transmitter and receiver design. ADSL.
http://wn.com/Digital_Signal_Processing_Lecture_3
Learn the fundamentals of digital signal processing theory and discover the myriad ways DSP makes everyday life more productive and fun.
Course Syllabus
Broad outline of the topics covered in the class:
Introduction: What is signal processing, history of the topic, application examples.
Discrete-time (DT) signals: the discrete-time complex exponential, and a computer music synthesis example.
Euclid and Hilbert: Signal processing as geometry, vectors spaces, bases, approximations.
Fourier Analysis: The discrete Fourier transform (DFT) and series (DFS). The discrete-time Fourier transform (DTFT). Examples. The fast Fourier transform algorithm (FFT).
Linear Filters: Linear time-invariant systems, convolution, ideal and realizable filters. Filter design and implementation, examples.
Interpolation and Sampling: Continuous-time (CT) signals, interpolation, sampling. The sampling theorem as orthonormal basis expansion. Processing of CT signals in DT.
Stochastic Signal Processing and Quantization: Stochastic signals, quantization, analog-to-digital (ADC) and digital-to-analog (DAC) conversion.
Image Processing: Introduction to image processing and two-dimensional (2D) Fourier analysis. Filtering and compression. The JPEG compression standard.
Digital Communication Systems: Analog channels and bandwidth/power constraints. Modulation and demodulation. Transmitter and receiver design. ADSL.
- published: 17 Nov 2014
- views: 0
Prof. Raj Nadakuditi - Signals and Noise
- Order: Reorder
- Duration: 2:43
- Updated: 04 Jun 2013
- author: EECS at Michigan
Prof. Nadakuditi's research involves statistical signal processing, random matrix theory, random graphs and light transport through opaque random media. He k...
http://wn.com/Prof._Raj_Nadakuditi_-_Signals_and_Noise
Prof. Nadakuditi's research involves statistical signal processing, random matrix theory, random graphs and light transport through opaque random media. He k...
- published: 26 Oct 2012
- views: 545
- author: EECS at Michigan
2013 SA Pearcey Enterpreneur - Dr Alex Grant
Alex Grant is the Director of the Institute for Telecommunications Research at the University of South Australia. He has lead the Coding and Information Theo...
http://wn.com/2013_SA_Pearcey_Enterpreneur_-_Dr_Alex_Grant
Alex Grant is the Director of the Institute for Telecommunications Research at the University of South Australia. He has lead the Coding and Information Theo...
- published: 20 Jun 2013
- views: 35
- author: iAwards
CMSV-DLS - 140305 with Vincent Poor
- Order: Reorder
- Duration: 63:08
- Updated: 19 Mar 2014
- author: CMUsiliconvalley
Abstract: Smart grid involves the imposition of an advanced cyber layer atop the physical layer of the electricity grid in order to improve the efficiency an...
http://wn.com/CMSV-DLS_-_140305_with_Vincent_Poor
Abstract: Smart grid involves the imposition of an advanced cyber layer atop the physical layer of the electricity grid in order to improve the efficiency an...
- published: 07 Mar 2014
- views: 40
- author: CMUsiliconvalley
CERIAS Security: John Oritz: Steganography 2/6
- Order: Reorder
- Duration: 9:59
- Updated: 18 Apr 2013
- author: Christiaan008
Clip 2/6 Speaker: John Oritz · SRA International Steganography is a discipline of computer science whose aim is to conceal the existence of information. Steg...
http://wn.com/CERIAS_Security_John_Oritz_Steganography_2_6
Clip 2/6 Speaker: John Oritz · SRA International Steganography is a discipline of computer science whose aim is to conceal the existence of information. Steg...
- published: 30 Apr 2010
- views: 429
- author: Christiaan008
CERIAS Security: John Oritz: Steganography 4/6
- Order: Reorder
- Duration: 9:59
- Updated: 18 Apr 2013
- author: Christiaan008
Clip 4/6 Speaker: John Oritz · SRA International Steganography is a discipline of computer science whose aim is to conceal the existence of information. Steg...
http://wn.com/CERIAS_Security_John_Oritz_Steganography_4_6
Clip 4/6 Speaker: John Oritz · SRA International Steganography is a discipline of computer science whose aim is to conceal the existence of information. Steg...
- published: 30 Apr 2010
- views: 282
- author: Christiaan008
CERIAS Security: John Oritz: Steganography 6/6
- Order: Reorder
- Duration: 8:04
- Updated: 13 Aug 2014
- author: Christiaan008
Clip 6/6 Speaker: John Oritz · SRA International Steganography is a discipline of computer science whose aim is to conceal the existence of information. Steg...
http://wn.com/CERIAS_Security_John_Oritz_Steganography_6_6
Clip 6/6 Speaker: John Oritz · SRA International Steganography is a discipline of computer science whose aim is to conceal the existence of information. Steg...
- published: 30 Apr 2010
- views: 182
- author: Christiaan008
Recent Trends in Femtocell Research
- Order: Reorder
- Duration: 430:39
- Updated: 31 Oct 2013
- author: Mischa Dohler
Abstract: Femtocells have not only gained industrial attraction, but are also of increasing interest to the academic community. This is mainly due to the eno...
http://wn.com/Recent_Trends_in_Femtocell_Research
Abstract: Femtocells have not only gained industrial attraction, but are also of increasing interest to the academic community. This is mainly due to the eno...
- published: 17 Feb 2012
- views: 2832
- author: Mischa Dohler
MIMO Wireless Communication PPT Presentation
- Order: Reorder
- Duration: 0:56
- Updated: 11 Dec 2013
- author: kasarla shashank
MIMO Wireless Communication PPT Presentation: MIMO is an important trend that shapes the future of wireless communication systems MIMO is a multidisciplinary...
http://wn.com/MIMO_Wireless_Communication_PPT_Presentation
MIMO Wireless Communication PPT Presentation: MIMO is an important trend that shapes the future of wireless communication systems MIMO is a multidisciplinary...
- published: 07 Jan 2013
- views: 2820
- author: kasarla shashank
Information theory: Entropy
- Order: Reorder
- Duration: 3:20
- Updated: 28 Aug 2014
- author: Zinnia Jones
An explanation of entropy in information theory and how to calculate it. (The last video ran long, so I had to slice it up.) More on information theory: http...
http://wn.com/Information_theory_Entropy
An explanation of entropy in information theory and how to calculate it. (The last video ran long, so I had to slice it up.) More on information theory: http...
- published: 02 Feb 2009
- views: 47060
- author: Zinnia Jones
CTTC coorganizes the ISWCS'2014
- Order: Reorder
- Duration: 2:31
- Updated: 13 Nov 2013
The aim of this symposium is to provide a forum for researchers and technologists to present new ideas and contributions in the form of technical papers, panel discussions as well as real-world evaluation of many ideas in wireless communications, networking and signal processing employed to support the needs of the Information Society. This eleventh symposium will bring together various wireless communication systems developers to discuss the current status, technical challenges, standards, fundamental issues, and future services and applications. ISWCS'14 seeks to address and capture highly-innovative and state-of-the-art research from academia, the wireless industry as well as standardization advances. The scope of the conference includes a wide range of technical challenges encompassing wireless communications, information theory, quality of service support, networking, signal processing, cross-layer design for improved performance, and future wireless broadband systems. - See more at: http://www.cttc.es/2013/10/24/cttc-coorganizes-the-iswcs2014/#sthash.jmRIr40a.dpuf
http://wn.com/CTTC_coorganizes_the_ISWCS'2014
The aim of this symposium is to provide a forum for researchers and technologists to present new ideas and contributions in the form of technical papers, panel discussions as well as real-world evaluation of many ideas in wireless communications, networking and signal processing employed to support the needs of the Information Society. This eleventh symposium will bring together various wireless communication systems developers to discuss the current status, technical challenges, standards, fundamental issues, and future services and applications. ISWCS'14 seeks to address and capture highly-innovative and state-of-the-art research from academia, the wireless industry as well as standardization advances. The scope of the conference includes a wide range of technical challenges encompassing wireless communications, information theory, quality of service support, networking, signal processing, cross-layer design for improved performance, and future wireless broadband systems. - See more at: http://www.cttc.es/2013/10/24/cttc-coorganizes-the-iswcs2014/#sthash.jmRIr40a.dpuf
- published: 13 Nov 2013
- views: 1
- Playlist
- Chat
32:06
Information Theory and Neural Coding - Part 1, by Adam Schneider
Information theory, developed by Claude Shannon in 1949, provides mathematically rigorous ...
published: 08 Jul 2013
author: CAMBAM Students
Information Theory and Neural Coding - Part 1, by Adam Schneider
Information Theory and Neural Coding - Part 1, by Adam Schneider
Information theory, developed by Claude Shannon in 1949, provides mathematically rigorous tools to quantify the precision with which a systems output contain...- published: 08 Jul 2013
- views: 775
- author: CAMBAM Students
56:01
Information Theory Today: ECE Lecturer Series
Founded by Claude Shannon in 1948, information theory has taken on renewed vibrancy with t...
published: 11 Sep 2012
author: UnivDelaware
Information Theory Today: ECE Lecturer Series
Information Theory Today: ECE Lecturer Series
Founded by Claude Shannon in 1948, information theory has taken on renewed vibrancy with technological advances that pave the way for attaining the fundament...- published: 11 Sep 2012
- views: 5468
- author: UnivDelaware
69:22
Compressed Sensing Meets Information Theory
Google Tech Talk October 7, 2009 ABSTRACT Presented by Dror Baron, Visiting Scientist, Tec...
published: 09 Oct 2009
author: GoogleTechTalks
Compressed Sensing Meets Information Theory
Compressed Sensing Meets Information Theory
Google Tech Talk October 7, 2009 ABSTRACT Presented by Dror Baron, Visiting Scientist, Technion - Israel Institute of Technology. Traditional signal acquisit...- published: 09 Oct 2009
- views: 24742
- author: GoogleTechTalks
17:13
Signal Processing chapter 08 Classical modulation
Transmission media; Modulation with sinusoidal carriers; Amplitude modulation and demodula...
published: 14 Nov 2012
author: Ulrich Karrenberg
Signal Processing chapter 08 Classical modulation
Signal Processing chapter 08 Classical modulation
Transmission media; Modulation with sinusoidal carriers; Amplitude modulation and demodulation; Single sideband modulation; Modulation without carrier; Frequ...- published: 14 Nov 2012
- views: 262
- author: Ulrich Karrenberg
5:21
Signal Processing Tutorial: Nyquist Sampling Theorem and Anti-Aliasing (Part 1)
http://www.FreedomUniversity.TV These videos are part of a series of videos in engineering...
published: 19 Jan 2008
author: John Santiago
Signal Processing Tutorial: Nyquist Sampling Theorem and Anti-Aliasing (Part 1)
Signal Processing Tutorial: Nyquist Sampling Theorem and Anti-Aliasing (Part 1)
http://www.FreedomUniversity.TV These videos are part of a series of videos in engineering. Here we talked about the Nyquist Sampling Theoremm Anti-Aliasing ...- published: 19 Jan 2008
- views: 43107
- author: John Santiago
47:19
Discrete signal processing on graphs: graph signal inpainting
For more details, please refer: http://gu.ee.tsinghua.edu.cn/ Abstract: Massive data, gen...
published: 25 May 2014
author: 谷实验室
Discrete signal processing on graphs: graph signal inpainting
Discrete signal processing on graphs: graph signal inpainting
For more details, please refer: http://gu.ee.tsinghua.edu.cn/ Abstract: Massive data, generated from various networks, such as social, economics, neuroscien...- published: 25 May 2014
- views: 119
- author: 谷实验室
54:35
Signal Processing and Communications for Sensor Networks
Google Tech Talks April 1, 2009 ABSTRACT Presented by Martin Vetterli A sensor network is ...
published: 03 Apr 2009
author: GoogleTechTalks
Signal Processing and Communications for Sensor Networks
Signal Processing and Communications for Sensor Networks
Google Tech Talks April 1, 2009 ABSTRACT Presented by Martin Vetterli A sensor network is a spatio-temporal sampling device with a wireless communications in...- published: 03 Apr 2009
- views: 11697
- author: GoogleTechTalks
5:37
Master (MSc) Degree in Communication Engineering, University of Manchester
This course delivers up-to-date topics on communications and microwave engineering. It cov...
published: 28 Sep 2010
author: EEEManchester
Master (MSc) Degree in Communication Engineering, University of Manchester
Master (MSc) Degree in Communication Engineering, University of Manchester
This course delivers up-to-date topics on communications and microwave engineering. It covers wide-ranging and in-depth materials including digital communica...- published: 28 Sep 2010
- views: 1365
- author: EEEManchester
22:05
Aliasing in Sampled Systems
An intuitive approach to understanding aliasing in sampled systems using a strobe-sampled ...
published: 02 Jun 2013
author: Eric Jacobsen
Aliasing in Sampled Systems
Aliasing in Sampled Systems
An intuitive approach to understanding aliasing in sampled systems using a strobe-sampled helicopter rotor as a demonstration. For more information visit htt...- published: 02 Jun 2013
- views: 357
- author: Eric Jacobsen
9:10
Information bottleneck-based relevant knowledge representation
A novel representation technique for sparse information, based on information theory.Throu...
published: 04 Nov 2013
Information bottleneck-based relevant knowledge representation
Information bottleneck-based relevant knowledge representation
A novel representation technique for sparse information, based on information theory.Through Information Bottleneck paradigm the optimal data representation ...- published: 04 Nov 2013
- views: 172
- author: Information and Signal Processing for Cognitive Telecommunications (ISIP40)
9:00
Bandwidth (signal processing)
Bandwidth is the difference between the upper and lower frequencies in a continuous set of...
published: 28 Aug 2014
author: Audiopedia
Bandwidth (signal processing)
Bandwidth (signal processing)
Bandwidth is the difference between the upper and lower frequencies in a continuous set of frequencies. It is typically measured in hertz, and may sometimes ...- published: 28 Aug 2014
- views: 4
- author: Audiopedia
12:30
Introduction to Estimation Theory
General notion of estimating a parameter and measures of estimation quality including bias...
published: 08 Apr 2013
author: Barry Van Veen
Introduction to Estimation Theory
Introduction to Estimation Theory
General notion of estimating a parameter and measures of estimation quality including bias, variance, and mean-squared error.- published: 08 Apr 2013
- views: 6993
- author: Barry Van Veen
23:39
Digital Signal Processing Lecture 3
Learn the fundamentals of digital signal processing theory and discover the myriad ways DS...
published: 17 Nov 2014
Digital Signal Processing Lecture 3
Digital Signal Processing Lecture 3
Learn the fundamentals of digital signal processing theory and discover the myriad ways DSP makes everyday life more productive and fun. Course Syllabus Broad outline of the topics covered in the class: Introduction: What is signal processing, history of the topic, application examples. Discrete-time (DT) signals: the discrete-time complex exponential, and a computer music synthesis example. Euclid and Hilbert: Signal processing as geometry, vectors spaces, bases, approximations. Fourier Analysis: The discrete Fourier transform (DFT) and series (DFS). The discrete-time Fourier transform (DTFT). Examples. The fast Fourier transform algorithm (FFT). Linear Filters: Linear time-invariant systems, convolution, ideal and realizable filters. Filter design and implementation, examples. Interpolation and Sampling: Continuous-time (CT) signals, interpolation, sampling. The sampling theorem as orthonormal basis expansion. Processing of CT signals in DT. Stochastic Signal Processing and Quantization: Stochastic signals, quantization, analog-to-digital (ADC) and digital-to-analog (DAC) conversion. Image Processing: Introduction to image processing and two-dimensional (2D) Fourier analysis. Filtering and compression. The JPEG compression standard. Digital Communication Systems: Analog channels and bandwidth/power constraints. Modulation and demodulation. Transmitter and receiver design. ADSL.- published: 17 Nov 2014
- views: 0
2:43
Prof. Raj Nadakuditi - Signals and Noise
Prof. Nadakuditi's research involves statistical signal processing, random matrix theory, ...
published: 26 Oct 2012
author: EECS at Michigan
Prof. Raj Nadakuditi - Signals and Noise
Prof. Raj Nadakuditi - Signals and Noise
Prof. Nadakuditi's research involves statistical signal processing, random matrix theory, random graphs and light transport through opaque random media. He k...- published: 26 Oct 2012
- views: 545
- author: EECS at Michigan
photo: AP / Jawhara FM via AP
27 Jun 2015
The gunman killed by police after the Tunisian attack which killed at least 38 people was not previously known to the authorities, according to the country’s prime minister. Habib Essid said Seifeddine Rezgui came from the town of Gaafour in the Siliana region and had been a student at the University of Kairouan ... ....
photo: AP / Central News Agency via AP
28 Jun 2015
TAIPEI, Taiwan — A fire on a music stage spread into a crowd of spectators at a Saturday night party at a Taiwan water park, injuring more than 500 people, including eight in critical condition, authorities said Sunday. The fire was sparked by an accidental explosion of a colored theatrical powder thrown from the stage in front of about 1,000 people, the fire agency and local media said ... ....
photo: AP / Michel Euler
26 Jun 2015
Article by WN.com Correspondent Dallas Darling. The world must come to terms with hard truths instead of pleasant sounding euphemisms and soundbites ... Unlike the U.S ... Coupled with mindless policies, the explosion of individual, tribal, stateless and state-sponsored acts of terrorism will continue to soar ... But even progressive political and military ideas or modern human nature are extensions of the historical past....
photo: AP / Petros Giannakouris
28 Jun 2015
Gavin Hewitt Chief correspondent. 28 June 2015. From the section Europe. Time is ticking for Greek PM Alexis Tsipras. The eurozone is facing its gravest crisis in its 16-year history. Greece is on the verge of defaulting. Almost certainly it will fail to repay a loan to the International Monetary Fund (IMF) on Tuesday. The risk of Greece leaving the eurozone has increased significantly ... The arguments have raged for five months ... Perhaps ... ....
photo: AP / Michel Euler
28 Jun 2015
FONTAINES-SUR-SAONE. The top suspect in the beheading of a businessman that French authorities are calling a terrorist attack took a "selfie" photo with the slain victim and sent the image via WhatsApp to a Canadian mobile phone number, officials said Saturday. READ ALSO. Terror attack in France, severed head covered in Arabic writing found at factory ... READ ALSO. France's Hollande says factory attack was of 'terrorist' nature ... READ ALSO ... ....
« back to news headlines
Edit
Public Technologies
26 Jun 2015
Engineering professor Jie Liang develops novel signal processing algorithms to enhance the quality of photos and videos uploaded to social media ... They are studying snow accumulation on glaciers, the flow of water through and under ice, and the interaction of glaciers with freshwater lakes to uncover the processes of mass gain, loss and turnover within the system....
Edit
Scientists Identify 'Mutation Accelerator' in Gene Mutation Linked to Common Adult Leukemia (Johns Hopkins Health System)
Public Technologies25 Jun 2015
In preliminary experiments with mice and lab-grown cells, Johns Hopkins Kimmel Cancer Center scientists have found that a protein-signaling process accelerates the work of the gene most frequently mutated in a common form of adult leukemia and is likely necessary to bring about the full-blown disease ... "It facilitates the cellular events that lead to cancer, but it itself is not the driver of the whole process."....
Edit
Aehr Test Systems Announces $1.7 Million Follow-On Order for ABTS(TM) Burn-in and Test Systems From ...
Stockhouse25 Jun 2015
... supplier of semiconductor test and burn-in equipment, today announced that it has received a $1.7 million follow-on order for its Advanced Burn-in and Test Systems (ABTS) from a leading multi-national manufacturer of advanced logic integrated circuits (ICs) for automotive, embedded processing, digital signal processing and analog applications....
Edit
Penn State launches Center for Sustainable Electric Power Systems (Penn State - The Pennsylvania State University)
Public Technologies25 Jun 2015
The concerns researchers are facing require the use of tools from a variety of different fields of study that include control and information theory, optimization theory, probability theory, numerical linear algebra and economic game theory ... The original issuer is solely responsible for the accuracy of the information contained therein....
Edit
PR Newswire
25 Jun 2015
"PFP Cybersecurity is a Cool Vendor because it is based on signal processing and physics, and, as such, does not depend on rule-based models to determine anomalies," said Earl Perkins, Analyst at Gartner, in the report ... With its innovative technology, PFP shortens the compromise detection gap to milliseconds by monitoring changes in electromagnetic signals, DC or AC power consumption ... For more information, please visit ... ... ....
Edit
Renesas Electronics Enables Increased Factory Productivity for Industry 4.0 with New Industrial Ethernet Communication IC with Built-In Gigabit PHY (Renesas Electronics America Inc)
Public Technologies25 Jun 2015
The explosion of sensor nodes will be expected to read many different types of signals - from process data such as temperature, pressure, and flow, to digital signals from many IO points ... For more information on Renesas, follow Renesas Electronics America at @RenesasAmerica on Twitter and http.//www.facebook.com/RenesasAmerica ... The original issuer is solely responsible for the accuracy of the information contained therein....
Edit
STMicroelectronics Begins STM32F7 Production, First to Market with Microcontrollers Featuring Advanced ARM® Cortex®-M7 Core (STMicroelectronics NV)
Public Technologies25 Jun 2015
Further technical information. ... It has about twice the digital-signal processing (DSP) capability for applications requiring high-speed or multi-channel audio, video, wireless, motion recognition, or motor control ... The devices deliver high processing efficiency of up to 6 CoreMark/mW at 1.8V ... Further information on ST can be found at www.st.com....
Edit
Public Technologies
25 Jun 2015
(Source ... Posted June 25, 2015; 01.55 p.m. by Jamie Saxon, Office of Communications ... Trueman said he is looking forward to seeing how this new platform might shape the learning process itself ... Cook will teach "An Introduction to Physics-Based Digital Audio Synthesis and Signal Processing" with Julius Smith of Stanford University ... The original issuer is solely responsible for the accuracy of the information contained therein....
Edit
The Organizing Committee of International Conference on Telematics and Future Generation Networks (TEFGEN 2015), has presented Plaque and Certificate-of-Appreciation to Prof. Tad Matsumoto, Information Theory and Signal Processing Laboratory, School of In (JAIST - Japan Advanced Institute of Science and Technology)
Public Technologies25 Jun 2015
(Source. JAIST - Japan Advanced Institute of Science and Technology) [About TEFGEN] ... More detailed information can be found in.. http.//www.utm.my/tafgen2015/ ... Tad Matsumoto of School of Information Science provided Keynote Speeches ... Tad Matsumoto by the committee chair ... Tad Matsumoto of School of Information Science provided Keynote Speeches ... The original issuer is solely responsible for the accuracy of the information contained therein....
Edit
Renesas Electronics Enables Increased Factory Productivity for Industry 4.0 with New Industrial Ethernet Communication IC with Built-In Gigabit PHY (Renesas Electronics Corporation)
Public Technologies25 Jun 2015
The explosion of sensor nodes will be expected to read many different types of signals - from process data such as temperature, pressure, and flow, to digital signals from many IO points ... More information can be found at www.renesas.com ... The original issuer is solely responsible for the accuracy of the information contained therein....
Edit
STMicroelectronics Begins STM32F7 Production, First to Market with Microcontrollers Featuring Advanced ARM(r) Cortex(r)-M7 Core
Stockhouse25 Jun 2015
Further technical information. ... It has about twice the digital-signal processing (DSP) capability for applications requiring high-speed or multi-channel audio, video, wireless, motion recognition, or motor control ... The devices deliver high processing efficiency of up to 6 CoreMark/mW at 1.8V ... Further information on ST can be found at www.st.com. For Press Information Contact.....
Edit
The Independent
25 Jun 2015
Only trust three-star Amazon reviews ... And we, as consumers, will become better informed. That's the theory. Gadgets and Tech News in Pictures ... Astroturfing, the practice of disingenuous and dishonest promotion, has a measurable effect – particularly in an age where we're swamped with information. We might think we're becoming more sophisticated in our appraisal of that information, but star ratings can be extremely persuasive ... --> ... ....
Edit
Trust Automation Brings Dynamic And Innovative Engineering Capabilities To U.S. Army Missile Research Program Trust Automation Contributes to AMRDEC's Development of Multi-Mission Launcher for today's complex and unconventional battlefields
PR Newswire25 Jun 2015
Army ... The U.S ... The use of digital signal processing (DSP) technology and complex proprietary algorithms enable synchronous control for the dual actuation system required to raise and lower the MML pallet ... Additional information about Trust Automation's proven track record in the Defense Industry can be found at http.//trustautomation.com ... For more information please visit www.trustautomation.com or call 805-544-0761 ... RELATED LINKS ... ....
- 1
- 2
- 3
- 4
- 5
- Next page »
