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2008 ISIT Plenary Lecture
Golay, Heisenberg and Weyl
Professor Robert Calderbank
Princeton University
ISIT Plenary Lecture
2008 Shannon Lecture
Source Coding and Simulation
Professor Robert M. Gray
Stanford University
Shannon LecturesISIT Plenary Lecture
2008 ISIT Plenary Lecture
From Two to Infinity: Information Theory and Statistics for Large Alphabets
Professor Alon Orlitsky
University of…
ISIT Plenary Lecture
The 2017 IEEE International Symposium on Information Theory was held in Aachen, Germany from June 25 through June 30, 2017.
Interview
Information Theory Society presents a brief history of internet communication and packet switched networks leading to the idea of network coding.…
Network Coding
2011 Shannon Lecture
From Constrained Signaling to Network Interference Alignment via an Information-Estimation Perspective
Shlomo Shamai (Shitz)…
Shannon Lectures
2008 ISIT Plenary Talk
Randomness - A Computational Complexity View
Professor Avi Wigderson
Institute for Advanced Study
Princeton University
ISIT Plenary Lecture
What motivated the concept of Markov chains & Markov models? Featuring Plato's theory of forms, Jacob Bernoulli's weak law of large numbers and…
Information Theory Society presents how the Lempel-Ziv lossless compression algorithm works. It was published in 1978 and improved by Welch in 1984…
Source CodingCoding
Morse Code Simulator: https://www.khanacademy.org/math/appl...
How can we quantify/measure an information source? We introduce the ideas of Nyquist & Hartley using a simple game involving yes/no questions. It…
Claude Shannon demonstrated how to generate "english looking" text using Markov chains and how this gives a satisfactory representation of the…
Information Theory Society presents the key concepts needed to understand low-density parity-check codes (LDPC codes). It's a blend of repetition…
LDPC CodesCoding
The IEEE Information Theory Society presents an overview of Adi Shamir's 1979 paper on secret sharing. This is part of our series on the greatest…
Secrecy
The key insights behind content and collaborative filtering (Matrix Factorization). How Amazon, Netflix, Facebook and others predict what you will…
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