An Improved Codeword Search Algorithm Based on Subvector Features

摘要：

An improved fast codeword search algorithm based on subvector features is presented in this paper. First divide every input vector into two subvectors with the same dimension. Then compute the sum and variance of every input vector and its two subvectors in turn, get a series of space division inequalities which are used as the elimination criterions. The result of the simulation shows that in the same coding quality compared with full search algorithm, the proposed algorithm has better data in the average number of distance calculations compared with several classic algorithms.

关键词： VQ Codeword Ssearch Subvectors

作者: Xie Linbo Yang wei Huang bang

作者单位: Key Laboratory of Advanced Process Control for Light Industry, Institude of Systems Engineering, Jiangnan University,Wuxi, Jiangsu, 214122, China

会议类型: 国际会议

会议名称: 2011 Fourth International Conference on Intelligent Computation Technology and Automation(2011年第四届智能计算技术与自动化国际会议 ICICTA 2011)

会议地点: 深圳

会议语种:英文

页码: 443-446

在线出版日期: 2011-03-28（万方平台首次上网日期，不代表论文的发表时间）