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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
2013 ISIT Plenary Lecture
Lossless Source Coding Algorithms
Frans M.J. Willems
Eindhoven University of Technology
ISIT Plenary LectureSource Coding
IEEE ITW 2021, Virtually from Kanazawa, Japan
Tutorial Lecture
CryptographyCoding Theory
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Coding TheoryLocally-testable codesLocally-decodable codes
Winner of the ISIT 2021 Student Video Contest
Students: Yuxin Liu and Sarah Bahanshalhttps://2021.ieee-isit.org/Challenge.asp
LDPC CodesPolar Codes
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
Laurent Schmalen's short lecture at the 2020 European School of Information Theory Stuttgart, Germany
LDPC Codes
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Data sharingPrivacy
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Coding TheoryLocally-testable codesLocally-decodable codes
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Data sharingPrivacy
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Coding TheoryLocally-testable codesLocally-decodable codes
IEEE ITW 2021, Virtually from Kanazawa, Japan
Tutorial Lecture
Storage
2021 Croucher Summer Course in Information Theory, The Chinese University of Hong Kong
Lecture
Data sharingPrivacy
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