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一种改进的小波变换快速算法
引用本文:陈东明,朱志良. 一种改进的小波变换快速算法[J]. 哈尔滨工业大学学报, 2009, 41(9): 214-217
作者姓名:陈东明  朱志良
作者单位:东北大学,软件学院,辽宁省,沈阳,110004;东北大学,软件学院,辽宁省,沈阳,110004
基金项目:国家高技术博士点资助项目(20030145017)
摘    要:提出了一种改进的小波变换快速算法.通过对小波滤波器系数特点的分析,发现M allat算法的速度可以进一步提高.在小波分解与重构中可以成对地计算,即在分解中一次计算一个低频系数和一个高频系数,而在重构中则一次计算相邻两个恢复值.在每一对值的计算过程中,后一个值的计算可以利用前一个值的计算结果,从而减少乘法和加法的次数,达到提高速度的目的.文中给出了M allat算法和改进算法的实验对比数据.

关 键 词:小波变换  滤波  分解  重构

An improved fast algorithm based on wavelet transform
CHEN Dong-ming,ZHU Zhi-liang. An improved fast algorithm based on wavelet transform[J]. Journal of Harbin Institute of Technology, 2009, 41(9): 214-217
Authors:CHEN Dong-ming  ZHU Zhi-liang
Affiliation:(Software College,Northeastern University,Shenyang 110004,China)
Abstract:An improved fast algorithm based on wavelet transform is provided.The analysis on wavelet filter coefficients shows that the speed of Mallat algorithm can be improved.A low-frequency coefficient and a high-frequency coefficient can be calculated simultaneously in the decomposition and reconstruction of wavelets,and two adjacent recovered values can also be calculated simultaneously in reconstruction.During the calculation of a pair of values,the later value can be calculated based on the result of the former value.Thus the times of multiplication and addition are decreased and the speed is improved.The comparative data between Mallat algorithm and the improved fast algorithm are provided,which illustrate the advantages of the improved algorithm.
Keywords:wavelet transform  filter  decomposition  reconstruction
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