- published: 08 Jul 2013
- views: 31
- author: CAMBAM Students
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: 31
- author: CAMBAM Students
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
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: 107
- author: CESG TAMU
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: 1545
- author: UnivDelaware
3:36
Safe and Secure Communications:Ohtsuki Group,Keio University
In recent years, wireless communication has become very familiar, as exemplified by the ra...
published: 05 Jan 2010
author: keiouniversity
Safe and Secure Communications:Ohtsuki Group,Keio University
Safe and Secure Communications:Ohtsuki Group,Keio University
In recent years, wireless communication has become very familiar, as exemplified by the rapid spread of mobile phones. However, because the available frequen...- published: 05 Jan 2010
- views: 1659
- author: keiouniversity
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 in the SOM-space has been determined as a trade-off between the signal reconstruction capabilities and the original data statistical similarities preservation.- published: 04 Nov 2013
- views: 25
2:31
CTTC coorganizes the ISWCS'2014
The aim of this symposium is to provide a forum for researchers and technologists to prese...
published: 13 Nov 2013
CTTC coorganizes the ISWCS'2014
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
84:17
Social Signal Processing Summer School - Claes Strannegård - What is it like to be a bee?
Claes Strannegård is an associate professor at the Department of Philosophy, Linguistics a...
published: 12 Aug 2013
Social Signal Processing Summer School - Claes Strannegård - What is it like to be a bee?
Social Signal Processing Summer School - Claes Strannegård - What is it like to be a bee?
Claes Strannegård is an associate professor at the Department of Philosophy, Linguistics and Theory of Science, University of Gothenburg and the Department of Applied Information Technology at Chalmers University of Technology. The ability to learn, neuroplasticity, enables honey bees to adapt to new environments and perform a wide range of cognitive tasks in those environments. Honey bees outperform artificial systems both in versatility and robustness and therefore their neurophysiology could provide valuable clues to artificial general intelligence. Reward seems to play a central role in guiding the learning process of bees, both when learning which perceptual patterns are associated with reward and which actions to take when a given perceptual pattern occurs, so as to satisfice reward. I present a graph-based computational model of memory development. In this model all learning is driven by reward. The model learns (i) memory structures representing perceptual patterns of the environment and (ii) actions that manipulate the environment. The goal is to combine automatic concept development with a variation of reinforcement learning. In social animals such as bees, part of the reward signals come from the social environment. Thus the nervous system is partly shaped by social signals. Similarly, our computational model is partly shaped by feedback signals from humans that interact with it. The human user has the options of staying passive or interfering actively by encouraging or discouraging certain kinds of behavior.- published: 12 Aug 2013
- views: 30
1:29
2013 SA Pearcey Enterpreneur - Dr Alex Grant
Alex Grant is the Director of the Institute for Telecommunications Research at the Univers...
published: 20 Jun 2013
author: iAwards
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...- published: 20 Jun 2013
- views: 30
- author: iAwards
3:19
Nyquist
just in case you dont know what this means here is a definition
he Nyquist--Shannon sampl...
published: 10 Sep 2013
Nyquist
Nyquist
just in case you dont know what this means here is a definition he Nyquist--Shannon sampling theorem, after Harry Nyquist and Claude Shannon,[1] in the literature more commonly referred to as the Nyquist sampling theorem or simply as the sampling theorem, is a fundamental result in the field of information theory, in particular telecommunications and signal processing. Sampling is the process of converting a signal (for example, a function of continuous time or space) into a numeric sequence (a function of discrete time or space). Shannon's version of the theorem states:[2] If a function x(t) contains no frequencies higher than B hertz, it is completely determined by giving its ordinates at a series of points spaced 1/(2B) seconds apart. In other words, a bandlimited function can be perfectly reconstructed from a countable sequence of samples if the bandlimit, B, is no greater than half the sampling rate (samples per second). The theorem also leads to a formula for reconstruction of the original function from its samples. When the bandlimit is too high (or there is no bandlimit), the reconstruction exhibits imperfections known as aliasing. The Poisson summation formula provides a graphic understanding of aliasing and an alternative derivation of the theorem, using the perspective of the function's Fourier transform.- published: 10 Sep 2013
- views: 18
22:05
Aliasing in Sampled Systems
An intuitive approach to understanding aliasing in sampled systems using a strobe-sampled ...
published: 02 Jun 2013
author: ejacobsen1
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: 46
- author: ejacobsen1
8:04
CERIAS Security: John Oritz: Steganography 6/6
Clip 6/6 Speaker: John Oritz · SRA International Steganography is a discipline of computer...
published: 30 Apr 2010
author: Christiaan008
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...- published: 30 Apr 2010
- views: 160
- author: Christiaan008
9:59
CERIAS Security: John Oritz: Steganography 1/6
Clip 1/6 Speaker: John Oritz · SRA International Steganography is a discipline of computer...
published: 30 Apr 2010
author: Christiaan008
CERIAS Security: John Oritz: Steganography 1/6
CERIAS Security: John Oritz: Steganography 1/6
Clip 1/6 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: 873
- author: Christiaan008
23:31
Q1: Guest Lecture: Sundeep Rangan
Sundeep Rangan received the B.A.Sc. at the University of Waterloo, Canada and the M.Sc. an...
published: 23 Sep 2012
author: Network20Q
Q1: Guest Lecture: Sundeep Rangan
Q1: Guest Lecture: Sundeep Rangan
Sundeep Rangan received the B.A.Sc. at the University of Waterloo, Canada and the M.Sc. and Ph.D. at the University of California, Berkeley, all in Electrica...- published: 23 Sep 2012
- views: 304
- author: Network20Q
0:48
ECE 210: Analog Signal Processing
ECE 210: Analog Signal Processing teaches students key signal processing theory and provid...
published: 20 Aug 2009
author: ECE ILLINOIS
ECE 210: Analog Signal Processing
ECE 210: Analog Signal Processing
ECE 210: Analog Signal Processing teaches students key signal processing theory and provides application of this theory in the laboratory through the constru...- published: 20 Aug 2009
- views: 2881
- author: ECE ILLINOIS
Youtube results:
9:59
CERIAS Security: John Oritz: Steganography 5/6
Clip 5/6 Speaker: John Oritz · SRA International Steganography is a discipline of computer...
published: 30 Apr 2010
author: Christiaan008
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...- published: 30 Apr 2010
- views: 240
- author: Christiaan008
9:59
CERIAS Security: John Oritz: Steganography 2/6
Clip 2/6 Speaker: John Oritz · SRA International Steganography is a discipline of computer...
published: 30 Apr 2010
author: Christiaan008
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...- published: 30 Apr 2010
- views: 384
- author: Christiaan008
9:59
CERIAS Security: John Oritz: Steganography 3/6
Clip 3/6 Speaker: John Oritz · SRA International Steganography is a discipline of computer...
published: 30 Apr 2010
author: Christiaan008
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...- published: 30 Apr 2010
- views: 301
- author: Christiaan008
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: 22930
- author: GoogleTechTalks