A fast vector quantization encoding method using wavelet transform

Wen Jyi Hwang; Biing Yau Chen; Sen Shiang Jeng

doi:10.1016/S0167-8655(96)00123-7

A fast vector quantization encoding method using wavelet transform

Wen Jyi Hwang^*, Biing Yau Chen, Sen Shiang Jeng

^*Corresponding author for this work

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

5 Citations (Scopus)

Abstract

A new fast codeword search algorithm for vector quantizers (VQ) is presented in this paper. This algorithm uses the pyramid structure of the codewords to accelerate the encoding process. The pyramid structure is obtained using the wavelet transform. This algorithm is able to reduce the codeword search time without sacrificing the performance and storage complexity of the VQs. Simulation results show that this algorithm is well-suited for the VQs with high vector dimension and/or large codebook size.

Original language	English
Pages (from-to)	73-76
Number of pages	4
Journal	Pattern Recognition Letters
Volume	18
Issue number	1
DOIs	https://doi.org/10.1016/S0167-8655(96)00123-7
Publication status	Published - 1997 Jan
Externally published	Yes

Keywords

Fast codeword search
Vector quantization
Wavelet transform

ASJC Scopus subject areas

Software
Signal Processing
Computer Vision and Pattern Recognition
Artificial Intelligence

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10.1016/S0167-8655(96)00123-7

Cite this

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title = "A fast vector quantization encoding method using wavelet transform",

abstract = "A new fast codeword search algorithm for vector quantizers (VQ) is presented in this paper. This algorithm uses the pyramid structure of the codewords to accelerate the encoding process. The pyramid structure is obtained using the wavelet transform. This algorithm is able to reduce the codeword search time without sacrificing the performance and storage complexity of the VQs. Simulation results show that this algorithm is well-suited for the VQs with high vector dimension and/or large codebook size.",

keywords = "Fast codeword search, Vector quantization, Wavelet transform",

author = "Hwang, {Wen Jyi} and Chen, {Biing Yau} and Jeng, {Sen Shiang}",

year = "1997",

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AU - Hwang, Wen Jyi

AU - Chen, Biing Yau

AU - Jeng, Sen Shiang

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N2 - A new fast codeword search algorithm for vector quantizers (VQ) is presented in this paper. This algorithm uses the pyramid structure of the codewords to accelerate the encoding process. The pyramid structure is obtained using the wavelet transform. This algorithm is able to reduce the codeword search time without sacrificing the performance and storage complexity of the VQs. Simulation results show that this algorithm is well-suited for the VQs with high vector dimension and/or large codebook size.

AB - A new fast codeword search algorithm for vector quantizers (VQ) is presented in this paper. This algorithm uses the pyramid structure of the codewords to accelerate the encoding process. The pyramid structure is obtained using the wavelet transform. This algorithm is able to reduce the codeword search time without sacrificing the performance and storage complexity of the VQs. Simulation results show that this algorithm is well-suited for the VQs with high vector dimension and/or large codebook size.

KW - Fast codeword search

KW - Vector quantization

KW - Wavelet transform

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JO - Pattern Recognition Letters

JF - Pattern Recognition Letters

IS - 1

ER -

A fast vector quantization encoding method using wavelet transform

Abstract

Keywords

ASJC Scopus subject areas

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