Information Theory and Signal Processing

Information Theory Today: ECE Lecturer Series

Duration: 56:01
Updated: 30 Jul 2013

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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CESG Fishbowl Seminar: Shannon Information Theory and Sparse Recovery

Duration: 69:21
Updated: 18 Jul 2013

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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Information Theory and Neural Coding - Part 1, by Adam Schneider

Duration: 32:06
Updated: 08 Jul 2013

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

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Compressed Sensing Meets Information Theory

Duration: 69:22
Updated: 22 Jul 2013

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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CERIAS Security: John Oritz: Steganography 2/6

Duration: 9:59
Updated: 18 Apr 2013

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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CERIAS Security: John Oritz: Steganography 1/6

Duration: 9:59
Updated: 18 Apr 2013

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...

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2008-11-12 CERIAS - John Oritz, SRA International

Duration: 57:55
Updated: 15 May 2012

Recorded: 11/12/2008 CERIAS Security Seminar at Purdue University John Oritz, SRA International John Oritz, SRA International Steganography is a discipline o...

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CERIAS Security: John Oritz: Steganography 5/6

Duration: 9:59
Updated: 18 Apr 2013

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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Signal Processing chapter 08 Classical modulation

Duration: 17:13
Updated: 14 Nov 2012

Transmission media; Modulation with sinusoidal carriers; Amplitude modulation and demodulation; Single sideband modulation; Modulation without carrier; Frequ...

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CERIAS Security: John Oritz: Steganography 6/6

Duration: 8:04
Updated: 28 Jul 2013

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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CERIAS Security: John Oritz: Steganography 3/6

Duration: 9:59
Updated: 18 Apr 2013

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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Safe and Secure Communications：Ohtsuki Group,Keio University

Duration: 3:36
Updated: 02 Jun 2012

In recent years, wireless communication has become very familiar, as exemplified by the rapid spread of mobile phones. However, because the available frequen...

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A concurrent real-time biologically-inspired visual object recognition system.

Duration: 1:54
Updated: 05 May 2014

Andreas Holzbach and Gordon Cheng. 2014 IEEE International Conference on Robotics and Automation (ICRA 2014) May 31 - June 7, 2014 Hong Kong, China In this paper, we present an biologically-motivated object recognition system for robots and vision tasks in general. Our approach is based on a hierarchical model of the visual cortex for feature extraction and rapid scene categorization. We modify this tatic model to be usable in time-crucial real-world scenarios by applying methods for optimization from signal detection theory, information theory, signal processing and linear algebra. Our system is more robust to clutter and supports object localization by approaching the binding problem in contrast to previous models. We show that our model outperforms the preceding model and that by our modifications we created a robust and fast system which integrates the capabilities of biological-inspired object recognition in a technical application.

http://wn.com/A_concurrent_real-time_biologically-inspired_visual_object_recognition_system.

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Information bottleneck-based relevant knowledge representation

Duration: 9:10
Updated: 04 Nov 2013

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.

http://wn.com/Information_bottleneck-based_relevant_knowledge_representation

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Discrete signal processing on graphs: graph signal inpainting

Duration: 47:19
Updated: 25 May 2014

Massive data, generated from various networks, such as social, economics, neuroscience, are becoming increasingly larger. Those data are naturally supported on complex and irregular structures that are commonly represented by graphs. The theory of discrete signal processing on graphs provides a novel framework for analyzing high-dimensional data with complex and irregular structures. The framework extends classical signal processing concepts, including signals, filters, spectrum, Fourier transform, frequency response, and filtering from data on regular lattices to data on arbitrary graphs. This theory offers a new methodology for solving data analysis tasks, such as data compression, denoising, classification, and anomaly detection. In this talk, we will focus on the task of inpainting for data on graphs. Our approach is a generalization of the signal inpainting technique from classical signal processing. We formulate corresponding minimization problems and demonstrate that in many cases they have closed-form solutions. We will discuss the relation between the proposed approach and regression, provide an upper bound on the error for the algorithm, and compare with other existing algorithms on real-world datasets. Siheng Chen received his B. Eng degree in optoelectronics engineering in 2011 from Beijing Institute of Technology and the M.S degree in electrical and computer engineering in 2012 from Carnegie Mellon University. He is currently a second year Ph. D student in the Department of Electrical and Computer Engineering and the Center for Bioimage Informatics at Carnegie Mellon University. His research interests include graph signal processing, indirect bridge health monitoring and biomedical image analysis.

http://wn.com/Discrete_signal_processing_on_graphs_graph_signal_inpainting

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Signal Processing and Communications for Sensor Networks

Duration: 54:35
Updated: 07 Aug 2013

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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CTTC coorganizes the ISWCS'2014

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

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Aliasing in Sampled Systems

Duration: 22:05
Updated: 26 Jun 2013

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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ECE 210: Analog Signal Processing

Duration: 0:48
Updated: 24 Mar 2013

ECE 210: Analog Signal Processing teaches students key signal processing theory and provides application of this theory in the laboratory through the constru...

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Master (MSc) Degree in Communication Engineering, University of Manchester, UK

Duration: 5:37
Updated: 09 Jul 2013

http://www.eee.manchester.ac.uk MSc in Communication Engineering is a full time 12 month programme of study commencing in September of each year. The program...

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CMSV-DLS - 140305 with Vincent Poor

Duration: 63:08
Updated: 07 Mar 2014

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 and lower the cost of power use and distribution, and to allow for the effective integration of variable energy sources and storage modes into the grid. This cyber-physical setting motivates the application of many techniques from the information and systems sciences to problems arising in the electricity grid, and considerable research effort has been devoted to such application in recent years. This talk will describe recent work on three aspects of this problem: applications of game theory to the modeling of the interactions of nodes on the grid; characterization of the fundamental tradeoff between privacy and utility of information sources arising in the grid; and distributed inferential algorithms that are suitable for the topological constraints imposed by the structure of the grid. Speaker Bio: H. Vincent Poor is the Michael Henry Strater University Professor of Electrical Engineering at Princeton, where he is also Dean of the School of Engineering and Applied Science. His research interests are in the areas of information theory, statistical signal processing and stochastic analysis, and their applications in smart grid, wireless networks and related fields. His publications in these areas include the recent book Mechanisms and Games for Dynamic Spectrum Allocation, published by Cambridge University Press in 2014. Dr. Poor is a Fellow of the IEEE and a member of the National Academy of Engineering and the National Academy of Sciences.

http://wn.com/CMSV-DLS_-_140305_with_Vincent_Poor

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Social Signal Processing Summer School - Claes Strannegård - What is it like to be a bee?

Duration: 84:17
Updated: 12 Aug 2013

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.

http://wn.com/Social_Signal_Processing_Summer_School_-_Claes_Strannegård_-_What_is_it_like_to_be_a_bee?

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Recent Trends in Femtocell Research

Duration: 430:39
Updated: 27 Jun 2013

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

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Related Topics

Information Theory Today: ECE Lecturer Series

CESG Fishbowl Seminar: Shannon Information Theory and Sparse Recovery

Information Theory and Neural Coding - Part 1, by Adam Schneider

Compressed Sensing Meets Information Theory

CERIAS Security: John Oritz: Steganography 2/6

CERIAS Security: John Oritz: Steganography 1/6

2008-11-12 CERIAS - John Oritz, SRA International

CERIAS Security: John Oritz: Steganography 5/6

Signal Processing chapter 08 Classical modulation

CERIAS Security: John Oritz: Steganography 6/6

CERIAS Security: John Oritz: Steganography 3/6

Safe and Secure Communications：Ohtsuki Group,Keio University

A concurrent real-time biologically-inspired visual object recognition system.

Information bottleneck-based relevant knowledge representation

Information Theory Today: ECE Lecturer Series

CESG Fishbowl Seminar: Shannon Information Theory and Sparse Recovery

Information Theory and Neural Coding - Part 1, by Adam Schneider

Compressed Sensing Meets Information Theory

CERIAS Security: John Oritz: Steganography 2/6

CERIAS Security: John Oritz: Steganography 1/6

2008-11-12 CERIAS - John Oritz, SRA International

CERIAS Security: John Oritz: Steganography 5/6

Signal Processing chapter 08 Classical modulation

CERIAS Security: John Oritz: Steganography 6/6

CERIAS Security: John Oritz: Steganography 3/6

Safe and Secure Communications：Ohtsuki Group,Keio University

A concurrent real-time biologically-inspired visual object recognition system.

Information bottleneck-based relevant knowledge representation

Discrete signal processing on graphs: graph signal inpainting

Signal Processing and Communications for Sensor Networks

CTTC coorganizes the ISWCS'2014

Aliasing in Sampled Systems

ECE 210: Analog Signal Processing

Master (MSc) Degree in Communication Engineering, University of Manchester, UK

CMSV-DLS - 140305 with Vincent Poor

Social Signal Processing Summer School - Claes Strannegård - What is it like to be a bee?

Recent Trends in Femtocell Research

Information Theory Today: ECE Lecturer Series

CESG Fishbowl Seminar: Shannon Information Theory and Sparse Recovery

Information Theory and Neural Coding - Part 1, by Adam Schneider

Compressed Sensing Meets Information Theory

CERIAS Security: John Oritz: Steganography 2/6

CERIAS Security: John Oritz: Steganography 1/6

2008-11-12 CERIAS - John Oritz, SRA International

CERIAS Security: John Oritz: Steganography 5/6

Signal Processing chapter 08 Classical modulation

CERIAS Security: John Oritz: Steganography 6/6

CERIAS Security: John Oritz: Steganography 3/6

Safe and Secure Communications：Ohtsuki Group,Keio University

A concurrent real-time biologically-inspired visual object recognition system.

Information bottleneck-based relevant knowledge representation

Discrete signal processing on graphs: graph signal inpainting

Signal Processing and Communications for Sensor Networks

CTTC coorganizes the ISWCS'2014

Aliasing in Sampled Systems