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A New Data Processing Inequality and Its Applications in Distributed Source and Channel Coding

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Publication:5281109
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DOI10.1109/TIT.2010.2090211zbMath1366.94289OpenAlexW2089234673MaRDI QIDQ5281109

Wei Kang, Sennur Ulukus

Publication date: 27 July 2017

Published in: IEEE Transactions on Information Theory (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1109/tit.2010.2090211



Mathematics Subject Classification ID

Channel models (including quantum) in information and communication theory (94A40) Source coding (94A29) Rate-distortion theory in information and communication theory (94A34)


Related Items (5)

Universal Features for High-Dimensional Learning and Inference ⋮ Quantum divergences with \(p\)-power means ⋮ A new quantum data processing inequality ⋮ Arbitrarily small amounts of correlation for arbitrarily varying quantum channels ⋮ Comparison of contraction coefficients for \(f\)-divergences




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