| 一种改进的等误差自组织特征映射矢量量化算法 |
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| 引用本文： | 陈善学,杜峰,吴立彬.一种改进的等误差自组织特征映射矢量量化算法[J].重庆邮电学院学报(自然科学版),2011(2). |
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| 作者姓名： | 陈善学 杜峰 吴立彬 |
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| 作者单位： | 重庆邮电大学信号与信息处理重点实验室; |
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| 基金项目： | 国家自然科学基金(61071116); 国家科技重大专项(2009ZX03001-004); 重庆市科委自然科学基金(CSTC,2010BB2407); 信号与信息处理重庆市市级重点实验室建设项目(CSTC,2009CA2003); 重庆邮电大学自然科学基金(A2009-27)~~ |
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| 摘 要： | 为了改善矢量量化的码书性能和提高神经网络的学习效率,在分析等误差自组织特征映射算法(equidistortion self-organizing feature mapping,EDSOFM)的基础上,提出了一种改进算法。改进算法将模糊神经网的隶属度函数引入到竞争学习算法中,有效地提高了学习收敛速度。针对原算法搜索获胜码字时计算量较大的问题,改进算法通过不等式判决的方法,快速排除了大量的不匹配码字。实验结果表明,改进算法使码书设计的计算量得到明显的减少,而且码书的性能得到了提高。
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| 关 键 词： | 矢量量化 自组织特征映射 等误差原则 模糊神经网 快速搜索 |
An improved vector quantization algorithm based on equidistortion self-organizing feature mapping |
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| CHEN Shan-xue,DU Feng,WU Li-bin.An improved vector quantization algorithm based on equidistortion self-organizing feature mapping[J].Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition),2011(2). |
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| Authors: | CHEN Shan-xue DU Feng WU Li-bin |
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| Institution: | CHEN Shan-xue,DU Feng,WU Li-bin(Key Laboratory of Signal and Information Processing,Chongqing University of Posts and Telecommunications,Chongqing 400065,P.R.China) |
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| Abstract: | In order to promote the codebook's performance and the learning eficiency of neural network in the vector quantization,this paper proposes an improved algorithm based on the analysis of equidistortion self-organizing feature mapping algorithm(EDSOFM).The membership function of fuzzy neural network is introduced into the competiton learning algorithm to converge faster with better performance.For the large computational complexity in searching the winners of ccdbook,the improved algorithm eliminates a large ... |
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| Keywords: | vector quantization self-organizing feature mapping equidistortion principle fuzzy neural network fast search |
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