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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
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.
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Information Theory and Neural Coding - Part 1, by Adam Schneider
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What is Information theory? A report all about Information theory for homework/assignment Information theory is a branch of applied mathematics, electrical engineering, and computer science 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, neurobiology, the evolution and function of molecular codes, model sel -
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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 refer to passband bandwidth, sometimes to baseband bandwidth, depending on context. Passband bandwidth is the difference between the upper and lower cutoff frequencies of, for example, a bandpass filter, a communication channel, or a signal spectrum. In the case of a low-pass filter or baseband signal, the bandwidth is equal to its upper cutoff frequency. Bandwidth in hertz is a central concept in many fields, including electronics, information theory, digital communications, radio commun -
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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
- 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
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All About - Information theory
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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 refer to passband bandwidth, sometimes to baseband bandwidth, depending on context. Passband bandwidth is the difference between the upper and lower cutoff frequencies of, for example, a bandpass filter, a communication channel, or a signal spectrum. In the case of a low-pass filter or baseband signal, the bandwidth is equal to its upper cutoff frequency. Bandwidth in hertz is a central concept in many fields, including electronics, information theory, digital communications, radio commun -
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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 -
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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...
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...
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
All About - Information theory
- Order: Reorder
- Duration: 3:14
- Updated: 10 Dec 2014
What is Information theory?
A report all about Information theory for homework/assignment
Information theory is a branch of applied mathematics, electrical engineering, and computer science 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, neurobiology, the evolution and function of molecular codes, model selection in ecology, thermal physics, quantum computing, linguistics, plagiarism detection, pattern recognition, anomaly detection and other forms of data analysis.
Intro/Outro music:
Discovery Hit/Chucky the Construction Worker - Kevin MacLeod (incompetech.com)
Licensed under CC-BY-3.0
Text derived from:
http://en.wikipedia.org/wiki/Information_theory
Text to Speech powered by voice-rss.com
Images are Public Domain or CC-BY-3.0:
Chalmers's_double-aspect_theory_of_information.JPG from http://commons.wikimedia.org/wiki/File:Chalmers's_double-aspect_theory_of_information.JPG
200px-Binary_entropy_plot.svg.png from http://en.wikipedia.org/wiki/Information_theory
343px-Shannon_communication_system.svg.png from http://en.wikipedia.org/wiki/A_Mathematical_Theory_of_Communication
Decomposing_systems_into_overlapping_complexes_from_Tononi's_IITC.png from http://en.wikipedia.org/wiki/Integrated_information_theory
400px-Information-integration.svg.png from http://en.wikipedia.org/wiki/Information_integration_theory
Active-Network-Information-Theory.svg from http://en.wikipedia.org/wiki/File:Active-Network-Information-Theory.svg
wn.com/All About Information Theory
What is Information theory?
A report all about Information theory for homework/assignment
Information theory is a branch of applied mathematics, electrical engineering, and computer science 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, neurobiology, the evolution and function of molecular codes, model selection in ecology, thermal physics, quantum computing, linguistics, plagiarism detection, pattern recognition, anomaly detection and other forms of data analysis.
Intro/Outro music:
Discovery Hit/Chucky the Construction Worker - Kevin MacLeod (incompetech.com)
Licensed under CC-BY-3.0
Text derived from:
http://en.wikipedia.org/wiki/Information_theory
Text to Speech powered by voice-rss.com
Images are Public Domain or CC-BY-3.0:
Chalmers's_double-aspect_theory_of_information.JPG from http://commons.wikimedia.org/wiki/File:Chalmers's_double-aspect_theory_of_information.JPG
200px-Binary_entropy_plot.svg.png from http://en.wikipedia.org/wiki/Information_theory
343px-Shannon_communication_system.svg.png from http://en.wikipedia.org/wiki/A_Mathematical_Theory_of_Communication
Decomposing_systems_into_overlapping_complexes_from_Tononi's_IITC.png from http://en.wikipedia.org/wiki/Integrated_information_theory
400px-Information-integration.svg.png from http://en.wikipedia.org/wiki/Information_integration_theory
Active-Network-Information-Theory.svg from http://en.wikipedia.org/wiki/File:Active-Network-Information-Theory.svg
- published: 10 Dec 2014
- views: 0
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...
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
CESG Fishbowl Seminar: Shannon Information Theory and Sparse Recovery
Abstract: The problem of sparse recovery arises in a number of statistical signal processing and learning applications. Sparsity arises from the fact that th...
wn.com/Cesg Fishbowl Seminar Shannon Information Theory And Sparse Recovery
Abstract: The problem of sparse recovery arises in a number of statistical signal processing and learning applications. Sparsity arises from the fact that th...
- published: 18 Feb 2013
- views: 233
- author: CESG TAMU
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 ...
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
![Jordan Santell: Signal Processing with the Web Audio API [JSConf2014]](http://web.archive.org./web/20150926201935im_/http://i.ytimg.com/vi/YBQ5pzvgbOE/0.jpg "Jordan Santell: Signal Processing with the Web Audio API [JSConf2014]")
Jordan Santell: Signal Processing with the Web Audio API [JSConf2014]
With the advent of the Web Audio API, processing audio signals is now possible in realtime within browsers. Let's take a look into what raw audio data actual...
wn.com/Jordan Santell Signal Processing With The Web Audio Api Jsconf2014
With the advent of the Web Audio API, processing audio signals is now possible in realtime within browsers. Let's take a look into what raw audio data actual...
- published: 09 Jul 2014
- views: 627
- author: JSConf
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...
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 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...
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
5 Indian Scientist Who Matter
- Order: Reorder
- Duration: 1:13
- Updated: 03 Jun 2015
Data Science is the extraction of knowledge from data.It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information theory and information technology, including signal processing, probability models, machine learning, statistical learning, computer programming, data engineering, pattern recognition and learning, visualization, predictive analytics, uncertainty modeling, data warehousing, data compression and high performance computing.
Here are Top 5 Indian Data Scientists who Matter: http://blog.tyronesystems.com/?p=1043
wn.com/5 Indian Scientist Who Matter
Data Science is the extraction of knowledge from data.It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information theory and information technology, including signal processing, probability models, machine learning, statistical learning, computer programming, data engineering, pattern recognition and learning, visualization, predictive analytics, uncertainty modeling, data warehousing, data compression and high performance computing.
Here are Top 5 Indian Data Scientists who Matter: http://blog.tyronesystems.com/?p=1043
- published: 03 Jun 2015
- views: 5
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 ...
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
Bandwidth (signal processing)
- Order: Reorder
- Duration: 10:23
- Updated: 09 Aug 2015
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 refer to passband bandwidth, sometimes to baseband bandwidth, depending on context. Passband bandwidth is the difference between the upper and lower cutoff frequencies of, for example, a bandpass filter, a communication channel, or a signal spectrum. In the case of a low-pass filter or baseband signal, the bandwidth is equal to its upper cutoff frequency. Bandwidth in hertz is a central concept in many fields, including electronics, information theory, digital communications, radio communications, signal processing, and spectroscopy and is one of the determinants of the capacity of a given communication channel. A key characteristic of bandwidth is that any band of a given width can carry the same amount of information, regardless of where that band is located in the frequency spectrum. For example, a 3 kHz band can carry a telephone conversation whether that band is at baseband (as in a POTS telephone line) or modulated to some higher frequency.
Video is targeted to blind users
Attribution:
Article text available under CC-BY-SA
=======Image-Info=======
Image is in public domain
Author-Info: Inductiveload
Image Source: https://en.wikipedia.org/wiki/File:Bandwidth_2.svg
=======Image-Info========
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 refer to passband bandwidth, sometimes to baseband bandwidth, depending on context. Passband bandwidth is the difference between the upper and lower cutoff frequencies of, for example, a bandpass filter, a communication channel, or a signal spectrum. In the case of a low-pass filter or baseband signal, the bandwidth is equal to its upper cutoff frequency. Bandwidth in hertz is a central concept in many fields, including electronics, information theory, digital communications, radio communications, signal processing, and spectroscopy and is one of the determinants of the capacity of a given communication channel. A key characteristic of bandwidth is that any band of a given width can carry the same amount of information, regardless of where that band is located in the frequency spectrum. For example, a 3 kHz band can carry a telephone conversation whether that band is at baseband (as in a POTS telephone line) or modulated to some higher frequency.
Video is targeted to blind users
Attribution:
Article text available under CC-BY-SA
=======Image-Info=======
Image is in public domain
Author-Info: Inductiveload
Image Source: https://en.wikipedia.org/wiki/File:Bandwidth_2.svg
=======Image-Info========
- published: 09 Aug 2015
- views: 0
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...
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
Digital Signal Processing Lecture 1
- Order: Reorder
- Duration: 3:06
- 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.
wn.com/Digital Signal Processing Lecture 1
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
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.
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
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 ...
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)
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...
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
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...
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 5/6
- Order: Reorder
- Duration: 9:59
- Updated: 18 Apr 2013
- author: Christiaan008
Clip 5/6 Speaker: John Oritz · SRA International Steganography is a discipline of computer science whose aim is to conceal the existence of information. Steg...
wn.com/Cerias Security John Oritz Steganography 5 6
Clip 5/6 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: 273
- 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...
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
Introduction to Detection Theory (Hypothesis Testing)
- Order: Reorder
- Duration: 16:22
- Updated: 15 Jun 2013
- author: Barry Van Veen
Includes definitions of binary and m-ary tests, simple and composite hypotheses, decision regions, and test performance characterization: probability of dete...
wn.com/Introduction To Detection Theory (Hypothesis Testing)
Includes definitions of binary and m-ary tests, simple and composite hypotheses, decision regions, and test performance characterization: probability of dete...
- published: 09 Apr 2013
- views: 310
- author: Barry Van Veen
Matched filters: theory (0002)
- Order: Reorder
- Duration: 13:42
- Updated: 07 Nov 2013
A matched filter is used to find a pattern in a signal defined by a template. The impulse response of an ordinary filter is just the time reversed template.
wn.com/Matched Filters Theory (0002)
A matched filter is used to find a pattern in a signal defined by a template. The impulse response of an ordinary filter is just the time reversed template.
- published: 07 Nov 2013
- views: 135
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...
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
- 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
- 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
- published: 11 Sep 2012
- views: 5468
- author: UnivDelaware
3:14
All About - Information theory
What is Information theory?
A report all about Information theory for homework/assignment...
published: 10 Dec 2014
All About - Information theory
All About - Information theory
- published: 10 Dec 2014
- views: 0
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
- published: 09 Oct 2009
- views: 24742
- author: GoogleTechTalks
69:21
CESG Fishbowl Seminar: Shannon Information Theory and Sparse Recovery
Abstract: The problem of sparse recovery arises in a number of statistical signal processi...
published: 18 Feb 2013
author: CESG TAMU
CESG Fishbowl Seminar: Shannon Information Theory and Sparse Recovery
CESG Fishbowl Seminar: Shannon Information Theory and Sparse Recovery
- published: 18 Feb 2013
- views: 233
- author: CESG TAMU
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)
- published: 19 Jan 2008
- views: 43107
- author: John Santiago
21:50
Jordan Santell: Signal Processing with the Web Audio API [JSConf2014]
With the advent of the Web Audio API, processing audio signals is now possible in realtime...
published: 09 Jul 2014
author: JSConf
Jordan Santell: Signal Processing with the Web Audio API [JSConf2014]
Jordan Santell: Signal Processing with the Web Audio API [JSConf2014]
- published: 09 Jul 2014
- views: 627
- author: JSConf
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
- published: 25 May 2014
- views: 119
- author: 谷实验室
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
- published: 14 Nov 2012
- views: 262
- author: Ulrich Karrenberg
1:13
5 Indian Scientist Who Matter
Data Science is the extraction of knowledge from data.It employs techniques and theories d...
published: 03 Jun 2015
5 Indian Scientist Who Matter
5 Indian Scientist Who Matter
- published: 03 Jun 2015
- views: 5
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)
- published: 28 Aug 2014
- views: 4
- author: Audiopedia
10:23
Bandwidth (signal processing)
Bandwidth is the difference between the upper and lower frequencies in a continuous set of...
published: 09 Aug 2015
Bandwidth (signal processing)
Bandwidth (signal processing)
- published: 09 Aug 2015
- views: 0
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
- published: 28 Sep 2010
- views: 1365
- author: EEEManchester
3:06
Digital Signal Processing Lecture 1
Learn the fundamentals of digital signal processing theory and discover the myriad ways DS...
published: 17 Nov 2014
Digital Signal Processing Lecture 1
Digital Signal Processing Lecture 1
- published: 17 Nov 2014
- views: 0
photo: AP / AP Photo
26 Sep 2015
Saudi Arabia's most senior cleric, the grand mufti, has said Thursday's stampede that killed more than 700 people at the annual Muslim pilgrimage to Mecca was beyond human control. He told the interior minister, Crown Prince Mohammed bin Nayef, that he was not to blame for the tragedy. Iran and several other countries have criticised Saudi authorities for the way they handled safety issues ... King Salman has ordered a safety review ... ....
photo: WN / Imran Nissar
26 Sep 2015
Starring Bollywood icon Priyanka Chopra, the ABC thriller follows a group of newbie FBI recruits, including Alex Parrish (Chopra), who is framed for the biggest terrorist attack on New York City since 9/11. [...] Chopra makes an impressive American debut as Alex ... > ....
photo: Public Domain / NASA, ESA, and The Hubble Heritage Team STScI/AURA)
25 Sep 2015
NASA has released an absolutely beautiful photo taken by the Hubble Space Telescope of the debris of a star that exploded 8,000 years ago. You’re looking at the Veil Nebula, a supernova remnant more than 2,000 light-years away ... Read this next....
photo: AP / Jake Simkin
26 Sep 2015
Syrian rebels trained by the United States gave some of their equipment to the al Qaeda-linked Nusra Front in exchange for safe passage, a US military spokesman said. It is the latest blow to a troubled US effort to train local partners to fight Islamic State militants ... He had earlier said all weapons and equipment issued to the rebels remained under their control ... Reuters ....
photo: AP
25 Sep 2015
As the body count from the horrific Hajj stampede reached 719, the backlash started ... Haj stampede. 14 Indians among 700 killed ... The Foreign Office in London was "urgently seeking information" after reports of the crush and estimates that between 19,000 and 25,000 Britons were in Saudi Arabia for the Hajj. Haj stampede helpline nos ... Worried friends and family took to social media in the hope of finding information about their relatives ... ....
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Public Technologies
25 Sep 2015
from molecular signals on molecular scale, through signal processing on cellular scale, through the nervous and muscular system on multicellular scale, up to behaviour on organism scale. The knowledge in the field of molecular mechanisms of signal processing and the nervous system, together with the developments in fluorescence microscopy and data ......
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Ultrasonic level controllers with enhanced setup wizards offer faster commissioning and setup (Siemens Corporation)
Public Technologies25 Sep 2015
Siemens' patented Sonic Intelligence signal processing technology differentiates between true and false echoes from obstructions or electrical noise, giving users repeatable, fast, and reliable measurements. Siemens Process Industries and Drives helps its customers increase productivity, safety, reliability, efficiency and time-to-market for plants and processes with innovative, integrated technology across the entire lifecycle....
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Public Technologies
25 Sep 2015
(Source ... While these devices place a comparatively smaller demand on the infrastructure, it signals a growing demand," said Dr Ong. Using information theory and graph theory, Dr Ong studies the fundamental limits of different prefetching technologies and the benefits they bring to wireless and wired communication systems. distributed by ... The original issuer is solely responsible for the accuracy of the information contained therein....
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The Examiner
25 Sep 2015
Can you reduce your risk for Alzheimer's or dementia? Can changing things you do in your life now, decrease your risk of developing Alzheimer's or dementia? The answers to these questions is yes ... Alzheimer’s is a complex disease with multiple risk factors ... Alzheimer’s is sometimes described as “diabetes of the brain,” and a growing body of information suggests a strong link between metabolic disorders and the signal processing systems....
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Public Technologies
25 Sep 2015
Length of time since credit was earned - Is the information you learned when you first took the credit-granting course still valid, or has it changed since then? Colleges want their graduates to enter the workforce with current knowledge and an accurate understanding of the relevant information, theories, and practices in their field ... The original issuer is solely responsible for the accuracy of the information contained therein....
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Public Technologies
25 Sep 2015
Phase 2 provides the transition from the key technologies of Phase 1 to the development of a prototype system of hardware and off-line signal processing for use in initial field tests with surrogate targets. Phase 3 will implement real-time signal processing, incorporate signal processing enhancements and test against realistic targets in realistic environments....
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Professor Szpankowski honored with Purdue's inaugural 2015 Arden L. Bement Jr. Award (Purdue University)
Public Technologies24 Sep 2015
24), recognizes Szpankowski for his outstanding contributions to the development of innovative analytic methods, leading to solutions of several open problems in analytical information theory and computer science ... In 1948 Claude Shannon, known as the father of information theory, paved the way for today's Internet and mobile communications by establishing the limits of compressing, reliably storing and communicating data....
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Southampton scientists reveal first results using new National Dark Fibre Infrastructure (University of Southampton)
Public Technologies24 Sep 2015
Professor Periklis Petropoulos, from the University of Southampton's Optoelectronics Research Centre (ORC), explored the use of new optical signal processing technologies to meet the demand for high capacity in future long haul optical transmission systems ... As multiple communication signals travel simultaneously down a long length of the same fibre, they gradually accumulate noise and lose their fidelity....
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The TUT Flagship project "Robotics and Intelligent Machines" started by four departments (Tampere University of ...
Public Technologies24 Sep 2015
(Source ... Intelligent Hydraulics and Automation (Professors Kalevi Huhtala and Reza Ghabcheloo) Mechanical Engineering and Industrial Systems (Professor Kari T Koskinen) Signal Processing (Professors Joni Kämäräinen, Ari Visa and Heikki Huttunen) Automation Science and Engineering (Professor Risto Ritala who is the project leader) ... The original issuer is solely responsible for the accuracy of the information contained therein. (noodl....
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Public Technologies
24 Sep 2015
(Source. Louisiana Tech University) ... Emery N. Brown, M.D., Ph.D., who will present highlights from his research in neuroscience and neural signal processing, and answer questions about the BRAIN (Brain Research Through Advancing Initiative Neurotechnologies) Initiative. The presentation is free and will take place at 11.30 a.m ... The original issuer is solely responsible for the accuracy of the information contained therein. (noodl....
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Public Technologies
24 Sep 2015
In his research, Liao focuses on reliability engineering, applied probability and statistics, applied operations research, probabilistic risk analysis and sensors and signal processing ... He is the immediate past Chair of INFORMS Quality, Statistics and Reliability (QSR) Section, and the President of IIE Quality Control and Reliability Engineering (QCRE) Division....
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Yahoo Daily News
24 Sep 2015
Very simple and robust, and our way to measure the information," Biedermann told Reuters at the Frankfurt Motor Show where the Active Wellness seat was on display. Combining these contactless sensors with unique algorithms and signal processing produced a system that Faurecia says works seamlessly while the vehicle is moving; delivering real-time monitoring of the driver and offering a bespoke treatment ... This is the two information....
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Stockhouse
24 Sep 2015
Leveraging on decades of digital signal processing (DSP) expertise, we develop rapid-prototyping, test and validation solutions that are cutting the time-to-market of our customers, thereby helping fuel next generation's wireless innovations such as software-defined radios (SDR), 4G, 5G Massive MIMO, HetNet and IoT, to customers in the wireless, scientific, medical and defense markets....
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