Performance analysis for vector quantization of distributed source

Si Ping Wang; Zhi Wen Liu; You Gen Xu

Performance analysis for vector quantization of 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

To study the quantitative relation of dimension and complexity. The rate and distortion of distributed source vector quantization are characterized and analyzed through the point density function of a quantizer. The function of rate, distortion, dimension is then derived, and the asymptotic performance of vector quantization is analyzed. The function of dimension and performance is then obtained. Simulation results showed that rate-distortion performance can approach Wyner-Ziv bound gradually with increasing dimension. The performance of distributed source vector quantization can approach Wyner-Ziv bound in the lower dimension case. So performance requirements can be met by low-dimension quantizer of less complexity.

Original language	English
Pages (from-to)	911-914
Number of pages	4
Journal	Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology
Volume	27
Issue number	10
Publication status	Published - Oct 2007

Keywords

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

Cite this

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title = "Performance analysis for vector quantization of distributed source",

abstract = "To study the quantitative relation of dimension and complexity. The rate and distortion of distributed source vector quantization are characterized and analyzed through the point density function of a quantizer. The function of rate, distortion, dimension is then derived, and the asymptotic performance of vector quantization is analyzed. The function of dimension and performance is then obtained. Simulation results showed that rate-distortion performance can approach Wyner-Ziv bound gradually with increasing dimension. The performance of distributed source vector quantization can approach Wyner-Ziv bound in the lower dimension case. So performance requirements can be met by low-dimension quantizer of less complexity.",

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AU - Wang, Si Ping

AU - Liu, Zhi Wen

AU - Xu, You Gen

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N2 - To study the quantitative relation of dimension and complexity. The rate and distortion of distributed source vector quantization are characterized and analyzed through the point density function of a quantizer. The function of rate, distortion, dimension is then derived, and the asymptotic performance of vector quantization is analyzed. The function of dimension and performance is then obtained. Simulation results showed that rate-distortion performance can approach Wyner-Ziv bound gradually with increasing dimension. The performance of distributed source vector quantization can approach Wyner-Ziv bound in the lower dimension case. So performance requirements can be met by low-dimension quantizer of less complexity.

AB - To study the quantitative relation of dimension and complexity. The rate and distortion of distributed source vector quantization are characterized and analyzed through the point density function of a quantizer. The function of rate, distortion, dimension is then derived, and the asymptotic performance of vector quantization is analyzed. The function of dimension and performance is then obtained. Simulation results showed that rate-distortion performance can approach Wyner-Ziv bound gradually with increasing dimension. The performance of distributed source vector quantization can approach Wyner-Ziv bound in the lower dimension case. So performance requirements can be met by low-dimension quantizer of less complexity.

KW - Distributed source

KW - Rate-distortion function

KW - Vector quantization

KW - Wyner-Ziv bound

UR - https://www.scopus.com/pages/publications/36248938753

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AN - SCOPUS:36248938753

SN - 1001-0645

VL - 27

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

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

IS - 10

ER -

Performance analysis for vector quantization of distributed source

Abstract

Keywords

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