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32:06
Information Theory and Neural Coding - Part 1, by Adam Schneider
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...
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56:01
Information Theory Today: ECE Lecturer Series
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...
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3:14
All About - Information theory
All About - Information theory
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 sel
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69:21
CESG Fishbowl Seminar: Shannon Information Theory and Sparse Recovery
CESG Fishbowl Seminar: Shannon Information Theory and Sparse Recovery
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...
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69:22
Compressed Sensing Meets Information Theory
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...
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47:19
Discrete signal processing on graphs: graph signal inpainting
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...
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17:13
Signal Processing chapter 08 Classical modulation
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...
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54:35
Signal Processing and Communications for Sensor Networks
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...
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9:00
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 ...
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22:05
Aliasing in Sampled Systems
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...
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5:37
Master (MSc) Degree in Communication Engineering, University of Manchester
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...
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9:59
CERIAS Security: John Oritz: Steganography 2/6
CERIAS Security: John Oritz: Steganography 2/6
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...
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9:59
CERIAS Security: John Oritz: Steganography 3/6
CERIAS Security: John Oritz: Steganography 3/6
CERIAS Security: John Oritz: Steganography 3/6
Clip 3/6 Speaker: John Oritz · SRA International Steganography is a discipline of computer science whose aim is to conceal the existence of information. Steg...
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9:59
CERIAS Security: John Oritz: Steganography 4/6
CERIAS Security: John Oritz: Steganography 4/6
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...
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9:59
CERIAS Security: John Oritz: Steganography 5/6
CERIAS Security: John Oritz: Steganography 5/6
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...
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8:04
CERIAS Security: John Oritz: Steganography 6/6
CERIAS Security: John Oritz: Steganography 6/6
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...
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12:30
Introduction to Estimation Theory
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.
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9:10
Information bottleneck-based relevant knowledge representation
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 ...
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23:39
Digital Signal Processing Lecture 3
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
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16:22
Introduction to Detection Theory (Hypothesis Testing)
Introduction to Detection Theory (Hypothesis Testing)
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...
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430:39
Recent Trends in Femtocell Research
Recent Trends in Femtocell Research
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...
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63:08
CMSV-DLS - 140305 with Vincent Poor
CMSV-DLS - 140305 with Vincent Poor
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...
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1:29
2013 SA Pearcey Enterpreneur - Dr Alex Grant
2013 SA Pearcey Enterpreneur - Dr Alex Grant
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...