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Quantization with Joint Entropy/Memory Constraints
Snowbird, Utah March 28-March 30
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DCC.2006.69Data Compression Conference (DCC'06)
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Robert M. Gray, Stanford University
John T. Gill III, Stanford University
Results are developed for optimal quantization with combined entropy and log codebook size constraints, including high rate characterizations of distortion, entropy, codebook size, and quantizer point density functions.
Citation:
Robert M. Gray, John T. Gill III, "Quantization with Joint Entropy/Memory Constraints," dcc, pp.223-232, Data Compression Conference (DCC'06), 2006
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