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IEEE ISIT 2020, Los Angeles (Virtual)
Plenary Lecture
Video image begins at 0:31
ISIT Plenary LecturePlenary LectureOptimization
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
EstimationHypothesis TestingDistributed SystemsSecrecy
Meet the Shannon Lecturer -- An Interview to Alon Orlitsky.
By Student and Outreach Subcommittee
OutreachShannon AwardInterview
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
EstimationHypothesis TestingDistributed SystemsSecrecy
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
ISIT 2021, Melbourne, Victoria, AustraliaPlenary Lecture
ISIT Plenary LecturePlenary LectureBroadcast Channels
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
EstimationHypothesis TestingDistributed SystemsSecrecy
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 2017 IEEE International Symposium on Information Theory was held in Aachen, Germany from June 25 through June 30, 2017.
Interview
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Information theoryCoding TheoryFinite blocklength
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Information theoryCoding TheoryFinite blocklength
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Information theoryCoding TheoryFinite blocklength
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Machine LearningInformation theoryFairness
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Machine LearningInformation theoryFairness
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Machine LearningInformation theoryFairness