Polar Coded Quantization for Distributed Source Coding
Published in IEEE International Symposium on Information Theory (ISIT) • Jun 1, 2026
NobleIDNI3P721W927R759S413
Authors:,,
M. Yusuf Şener
Gerhard G. Kramer
Shlomo Shamai
Abstract
Scalar quantization and probabilistic shaping are applied to the distributed source coding of Gaussian sources, with mean-square error distortion. A coding scheme with a modulo interval, dithering, and truncated Gaussian shaping is shown to achieve the corner points of the Berger-Tung region. The th...
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