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Codecell contiguity in optimal fixed-rate and entropy-constrained network scalar quantizers

Effros, Michelle and Muresan, Dan (2002) Codecell contiguity in optimal fixed-rate and entropy-constrained network scalar quantizers. In: DCC 2002 -- Data Compression Conference, 2-4 April, 2002, Snowbird, Utah. IEEE , Los Alamitos, CA, pp. 312-321. ISBN 0-7695-1477-4.

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We consider the properties of optimal fixed-rate and entropy-constrained scalar quantizers for finite alphabet sources. In particular, we consider conditions under which the optimal scalar quantizer with contiguous codecells achieves performance no worse than the optimal scalar quantizer without the constraint of codecell contiguity. In addition to traditional scalar quantizers, we consider multi-resolution scalar quantizers and multiple description scalar quantizers and also look briefly at codes with decoder side information (Wyner-Ziv codes). While the conditions under which codecell contiguity is consistent with optimality in fixed-rate and entropy-constrained scalar quantization are quite broad, even with the squared error distortion measure, codecell contiguity in fixed-rate and entropy-constrained multi-resolution, multiple description, and Wyner-Ziv scalar quantization can preclude optimality for some sources.

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Additional Information:© Copyright 2002 IEEE. Reprinted with permission. This material is based upon work partially supported by the NSF under Award No. CCR-9909026 and by the Caltech Lee Center for Advanced Networking.
Subject Keywords:entropy codes; signal quantization; signal resolution; source code design; source coding theory; network information theory
Record Number:CaltechAUTHORS:EFFdcc02
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Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:7333
Deposited By: Archive Administrator
Deposited On:01 Feb 2007
Last Modified:08 Nov 2021 20:41

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