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2008 ISIT Plenary Lecture
Golay, Heisenberg and Weyl
Professor Robert Calderbank
Princeton University
ISIT Plenary Lecture
2010 ISIT Plenary Lecture
The Audacity of Throughput - A Trilogy of Rates
Professor Anthony Ephremides
University of Maryland, College Park
ISIT Plenary Lecture
Information in Small Bits is a book produced as part of a non-profit outreach project of the IEEE Information Theory Society.
OutreachInformation in Small Bits
2010 ISIT Plenary Lecture
Completely Random Measures for Bayesian Nonparametrics
Professor Michael I. Jordan
University of California, Berkeley
ISIT Plenary Lecture
2008 Shannon Lecture
Source Coding and Simulation
Professor Robert M. Gray
Stanford University
Shannon LecturesISIT Plenary Lecture
2014 Shannon Lecture: On The Mathematics of Distinguishable Difference.
By János Körner, "Sapienza" University of Rome
Shannon Lectures
Information in Small Bits is a book produced as part of a non-profit outreach project of the IEEE Information Theory Society. In Chapter 3, Alice and…
Information in Small BitsOutreach
2008 ISIT Plenary Lecture
From Two to Infinity: Information Theory and Statistics for Large Alphabets
Professor Alon Orlitsky
University of…
ISIT Plenary Lecture
Information in Small Bits is a book produced as part of a non-profit outreach project of the IEEE Information Theory Society.
OutreachInformation in Small Bits
2010 ISIT Shannon Lecture
Musing upon Information Theory
Professor Te Sun Han
NICT
Shannon Lectures
2010 ISIT Plenary Lecture
Coding for Noisy Networks
Professor Abbas El Gamal
Stanford University
ISIT Plenary Lecture
Information Theory Society presents a brief history of internet communication and packet switched networks leading to the idea of network coding.…
Network Coding
2008 ISIT Plenary Talk
Randomness - A Computational Complexity View
Professor Avi Wigderson
Institute for Advanced Study
Princeton University
ISIT Plenary Lecture
2018 ISIT Plenary Talk -- Vail, CO
Guidance from Information Theory – an engineering perspective
Gottfried Ungerboeck
ISIT Plenary LectureShannon Lectures
2018 ISIT Tutorial
Vail, CO - 6/17/18
Nanoscale Information Processing
Lav R. Varshney and Naresh R. Shanbhag
Tutorial
2018 ISIT Tutorial
6/17/18
What Do We Know About Matrix Estimation?
Christina Lee Yu and Devavrat Shah
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
2014 ISIT Plenary Lecture
Codes for Distributed Storage -- Asking More of an Old Friend
P. Vijay Kumar
Indian Institute of Science
2018 ISIT Plenary Talk -- Vail, CO
Sit Back and Enjoy the Noise
Amos Lapidoth
ETH Zurich
ISIT Plenary Lecture
2014 ISIT Plenary Lecture
Signal Analysis Helping Art Historians and Conservators
Ingrid Daubechies
Duke University
2014 ISIT Plenary Lecture
DNA Sequencing in the 21st Century: Algorithms and Estimation
Michael S. Waterman
University of Southern California
ISIT Plenary Lecture
2014 ISIT Plenary Lecture
To Infinity and Beyond: New Frontiers in Wireless Information Theory
Andrea Goldsmith
Stanford University
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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