Information theory

Receiver (information theory)

The receiver in information theory is the receiving end of a communication channel. It receives decoded messages/information from the sender, who first encoded them. Sometimes the receiver is modeled so as to include the decoder. Real-world receivers like radio receivers or telephones can not be expected to receive as much information as predicted by the noisy channel coding theorem. (Wikipedia).

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(IC 1.6) A different notion of "information"

An informal discussion of the distinctions between our everyday usage of the word "information" and the information-theoretic notion of "information". A playlist of these videos is available at: http://www.youtube.com/playlist?list=PLE125425EC837021F Attribution for image of TV static:

From playlist Information theory and Coding

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(IC 1.1) Information theory and Coding - Outline of topics

A playlist of these videos is available at: http://www.youtube.com/playlist?list=PLE125425EC837021F Overview of central topics in Information theory and Coding. Compression (source coding) theory: Source coding theorem, Kraft-McMillan inequality, Rate-distortion theorem Error-correctio

From playlist Information theory and Coding

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How does an Antenna work? | ICT #4

Antennas are widely used in the field of telecommunications and we have already seen many applications for them in this video series. Antennas receive an electromagnetic wave and convert it to an electric signal, or receive an electric signal and radiate it as an electromagnetic wave. In t

From playlist Internet & Telecommunication Technology

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What Are Phased Arrays?

This video introduces the concept of phased arrays. An array refers to multiple sensors, arranged in some configuration, that act together to produce a desired sensor pattern. With a phased array, we can electronically steer that pattern without having to physically move the array simply b

From playlist Understanding Phased Array Systems and Beamforming

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(IC 1.4) Source-channel separation

The source-encoder-channel-decoder-destination pipeline. Decoupling the combined encoding problem into compression (source coding) and error-correction (channel coding) via the source-channel separation theorem. A playlist of these videos is available at: http://www.youtube.com/playlist?

From playlist Information theory and Coding

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CERIAS Security: WHAT IS INFORMATION? 3/6

Clip 3/6 Speaker: Wojciech Szpankowski · Professor of Computer Science · Purdue University Information permeates every corner of our lives and shapes our universe. Understanding and harnessing information holds the potential for significant advances. The breadth and depth of underlyin

From playlist The CERIAS Security Seminars 2007

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CERIAS Security: WHAT IS INFORMATION? 2/6

Clip 2/6 Speaker: Wojciech Szpankowski · Professor of Computer Science · Purdue University Information permeates every corner of our lives and shapes our universe. Understanding and harnessing information holds the potential for significant advances. The breadth and depth of underlyin

From playlist The CERIAS Security Seminars 2007

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CERIAS Security: WHAT IS INFORMATION? 6/6

Clip 6/6 Speaker: Wojciech Szpankowski · Professor of Computer Science · Purdue University Information permeates every corner of our lives and shapes our universe. Understanding and harnessing information holds the potential for significant advances. The breadth and depth of underlyin

From playlist The CERIAS Security Seminars 2007

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IMS Public Lecture: Trends in Wireless Communications

Sergio Verdú, Princeton University

From playlist Public Lectures

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CERIAS Security: WHAT IS INFORMATION? 4/6

Clip 4/6 Speaker: Wojciech Szpankowski · Professor of Computer Science · Purdue University Information permeates every corner of our lives and shapes our universe. Understanding and harnessing information holds the potential for significant advances. The breadth and depth of underlyin

From playlist The CERIAS Security Seminars 2007

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RF Communications and Sensing Convergence: Theory, Systems, and Experiments with MATLAB in the Loop

Presented by Prof. Daniel W. Bliss, Arizona State University School of Electrical, Computer, and Energy Engineering Center for Wireless Information Systems and Computational Architectures At Arizona State University, Center for Wireless Information Systems and Computational Architectures (

From playlist 2017 MathWorks Research Summit

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Sergio Verdu - Information Theory Today

Founded by Claude Shannon in 1948, information theory has taken on renewed vibrancy with technological advances that pave the way for attaining the fundamental limits of communication channels and information sources. Increasingly playing a role as a design driver, information theory is b

From playlist NOKIA-IHES Workshop

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Huffman Codes: An Information Theory Perspective

Huffman Codes are one of the most important discoveries in the field of data compression. When you first see them, they almost feel obvious in hindsight, mainly due to how simple and elegant the algorithm ends up being. But there's an underlying story of how they were discovered by Huffman

From playlist Data Compression

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The Mathematics of Consciousness (Integrated Information Theory)

Entry for the #3Blue1Brown Summer of Math Exposition 2022 (#SoME2) by Rodrigo Coin Curvo & Alexander Maier Read more about Integrated Information Theory and the #neuroscience of #consciousness: http://www.scholarpedia.org/article/Integrated_information_theory Also, check out Rodrigo's e

From playlist Summer of Math Exposition 2 videos

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Communication Amid Uncertainty by Madhu sudan

ICTS at Ten ORGANIZERS: Rajesh Gopakumar and Spenta R. Wadia DATE: 04 January 2018 to 06 January 2018 VENUE: International Centre for Theoretical Sciences, Bengaluru This is the tenth year of ICTS-TIFR since it came into existence on 2nd August 2007. ICTS has now grown to have more tha

From playlist ICTS at Ten

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Elisa Gorla: Complexity of Groebner bases computations and applications to cryptography - lecture 1

CIRM VIRTUAL EVENT Recorded during the meeting "French Computer Algebra Days" the March 02, 2021 by the Centre International de Rencontres Mathématiques (Marseille, France) Filmmaker: Guillaume Hennenfent Find this video and other talks given by worldwide mathematicians on CIRM's Audio

From playlist Virtual Conference

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Nexus trimester - Søren Riis (Queen Mary University of London)

Finite Dynamical Systems, Causal Networks and Information Inequalities - Part 1A Søren Riis (Queen Mary University of London) february 23, 2016 Abstract: The properties of finite dynamical systems have been investigated in the context of coding theoretic problems, such as network coding a

From playlist Nexus Trimester - 2016 - Fundamental Inequalities and Lower Bounds Theme

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Nexus trimester - Michelle Effros (California Institute of Technology)

Reduction for Information Theory Michelle Effros (California Institute of Technology) March 01, 2016 Abstract: Reduction arguments, long a mainstay of the computation theory literature, provide powerful tools for proving information theoretic results. In computation theory, reduction is u

From playlist Nexus Trimester - 2016 - Central Workshop

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Fay Dowker Public Lecture - Spacetime Atoms and the Unity of Physics (Perimeter Public Lecture)

Fay Dowker speaks at a Perimeter Institute Public Lecture on November 2, 2011. Black holes are hot! This discovery made by Stephen Hawking ties together gravity, spacetime, quantum matter, and thermal systems into the beautiful and exciting science of "Black Hole Thermodynamics". Its be

From playlist Public Lecture Series

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CERIAS Security: WHAT IS INFORMATION? 5/6

Clip 5/6 Speaker: Wojciech Szpankowski · Professor of Computer Science · Purdue University Information permeates every corner of our lives and shapes our universe. Understanding and harnessing information holds the potential for significant advances. The breadth and depth of underlyin

From playlist The CERIAS Security Seminars 2007

Related pages

Communication channel | Code | Information theory