This paper presents a new strategy of particle-pair(PP) for vector quantization(VQ) in image coding.

本文给出了一种新的图像矢量量化码书的优化设计方法——粒子对算法。

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Nowadays, wavelet transform, vector quantization and embedded encoding has been the primary technique and study focus for image compression, to which people attach their more importance.

目前，小波变换、矢量量化以及嵌入式编码已经成为图像压缩的主要技术及研究热点，越来越受到重视。

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The principle of fuzzy vector quantization (FVQ) for image coding is discussed in this paper, and an exponential fuzzy learning vector quantization algorithm (EFLVQ) is proposed.

本文分析了模糊矢量量化(FVQ)图像编码的原理，提出了一种指数型模糊学习矢量量化算法(EFLVQ)。

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