The Study on Competitive Learning Algorithms for Vector Quantization

Zhu Ce

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The Study on Competitive Learning Algorithms for Vector Quantization

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- The Study on Competitive Learning Algorithms for Vector Quantization
- Acta Electronica Sinica Issue 2, (1997)
- 作者机构：
  
  1. 西南师范大学计算机科学系
  2. 东南大学无线电工程系
  3. 西南师范大学计算机科学系东南大学无线电工程系
- 作者简介：
- 基金信息：
- DOI：
  CLC： TP18
- Published：1997
- 稿件说明：
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[1]朱策,何振亚,厉力华,汪军.应用于矢量量化的竞争学习算法研究[J].电子学报,1997(02):113-115.

Zhu Ce. The Study on Competitive Learning Algorithms for Vector Quantization[J]. Acta Electronica Sinica, 1997, (2).
[1]朱策,何振亚,厉力华,汪军.应用于矢量量化的竞争学习算法研究[J].电子学报,1997(02):113-115. DOI：

Zhu Ce. The Study on Competitive Learning Algorithms for Vector Quantization[J]. Acta Electronica Sinica, 1997, (2). DOI：

摘要

本文依据部分失真定理提出了一种应用于矢量量化的竞争学习新算法─—部分失真均衡竟争学习算法．与目前流行的多种竞争学习算法相比，该算法对于不同尺寸码书的设计均取得了最好的结果，特别是对于大尺寸码书的设计，效果更为明显．

Abstract

A new competitive learning algorithm based on Partial Distortion Theorem is developed for vector quantization

which is called Partial-Distornon-Unform competitive learning a lgorithm. Compared with several popular competitive learning algorithms

the proposed algorithm shows. Compared with several populor competitive learning algorithms

the proposed algorithm the best performance for the codebook design with different sizes

especially for the design of large size codebook.

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