Performance analysis of Wyner-Ziv vector quantization for noisy distributed source

Si Ping Wang; Zhi Wen Liu; You Gen Xu

Performance analysis of Wyner-Ziv vector quantization for noisy distributed source

Si Ping Wang^*
, Zhi Wen Liu
, You Gen Xu

^*Corresponding author for this work

School of Integrated Circuits and Electronics

Beijing Institute of Technology

Research output: Contribution to journal › Article › peer-review

Abstract

The problem of rate-distortion in the vector quantization for noisy distributed sources is studied. The rate-distortion function is derived by the normalized and the output point density functions. Then the asymptotic performance and the function of dimension, rate and distortion are analyzed. Furthermore, general solution for the design of optimal quantizer for distributed source coding is given. Simulation results showed that distributed source vector quantization can approach Wyner-Ziv bound in cases of lower dimensions.

Original language	English
Pages (from-to)	36-39
Number of pages	4
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	28
Issue number	SUPPL.
Publication status	Published - Mar 2008

Keywords

Distributed source
Rate-distortion function
Vector quantization
Wyner-Ziv bound

Cite this

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title = "Performance analysis of Wyner-Ziv vector quantization for noisy distributed source",

abstract = "The problem of rate-distortion in the vector quantization for noisy distributed sources is studied. The rate-distortion function is derived by the normalized and the output point density functions. Then the asymptotic performance and the function of dimension, rate and distortion are analyzed. Furthermore, general solution for the design of optimal quantizer for distributed source coding is given. Simulation results showed that distributed source vector quantization can approach Wyner-Ziv bound in cases of lower dimensions.",

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AU - Wang, Si Ping

AU - Liu, Zhi Wen

AU - Xu, You Gen

PY - 2008/3

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N2 - The problem of rate-distortion in the vector quantization for noisy distributed sources is studied. The rate-distortion function is derived by the normalized and the output point density functions. Then the asymptotic performance and the function of dimension, rate and distortion are analyzed. Furthermore, general solution for the design of optimal quantizer for distributed source coding is given. Simulation results showed that distributed source vector quantization can approach Wyner-Ziv bound in cases of lower dimensions.

AB - The problem of rate-distortion in the vector quantization for noisy distributed sources is studied. The rate-distortion function is derived by the normalized and the output point density functions. Then the asymptotic performance and the function of dimension, rate and distortion are analyzed. Furthermore, general solution for the design of optimal quantizer for distributed source coding is given. Simulation results showed that distributed source vector quantization can approach Wyner-Ziv bound in cases of lower dimensions.

KW - Distributed source

KW - Rate-distortion function

KW - Vector quantization

KW - Wyner-Ziv bound

UR - https://www.scopus.com/pages/publications/43749106216

M3 - Article

AN - SCOPUS:43749106216

SN - 1001-0645

VL - 28

SP - 36

EP - 39

JO - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

JF - Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology

IS - SUPPL.

ER -

Performance analysis of Wyner-Ziv vector quantization for noisy distributed source

Abstract

Keywords

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