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一种基于小波变换的矢量量化算法 被引量:1

A Vector Quantization Algorithm Based on Wavelet Transforms
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摘要 提出了一种基于小波变换的矢量量化算法 ,算法利用小波变换后各子带间的相关性 ,合理地构造矢量。采用最优矢量量化器设计原则 ,给出了小波域的误差竞争学习算法 (DCL )。实验表明 。 A vector quantization algorithm based on wavelet transforms is introduced. The correlation of the wavelet coefficients in different frequency bands is effectively exploited through constructing the crossband vector. By adopting the optimal design principle of the vector quintile, the author in this paper presents a distortion competitive learning (DCL) algorithm. The experiment results show that this algorithm is superior to other methods.
作者 陈善学
机构地区 重庆邮电学院
出处 《重庆邮电学院学报(自然科学版)》 2002年第1期87-90,共4页 Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition)
基金 重庆邮电学院青年教师科技基金资助项目 (A2 0 0 1- 15 )
关键词 小波变换 矢量量化 神经网络 数据压缩 误差竞争学习算法 wavelet transform vector quantization neural network
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