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1、 李建平 等:一种新的面向信号处理的小波变换加速算法 1343 Fig.2 Brain signal processing of serious patient 图2 严重脑故障病人信号分析 6 结 论 本文在对 Mallat 算法进行深入剖析的基础上 ,基于其基本思想和基本原理提出了一种新的小波变换加速 算法.该算法比 Mallat 算法快 1 倍以上,其技巧和速度也优于著名的金字塔算法12和文献13中提到的小波软 件 ,效率高、效果好、自适应性和应用范围广 ,尤其适合图像、语音处理和海量数据压缩等许多方面 ,对电子签 名和 CA 认证算法等研究有直接参考作用. References: 1

2、2 3 4 5 6 7 8 9 10 11 12 13 Mallat, S. A theory for multiresolution signal decomposition: the wavelet representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 1989,11(7:674693. Li, Jian-ping. Wavelet Analysis & Signal Processing: Theory, Applications and Software Implement

3、ations. Chongqing: Chongqing Publishing House, 1997 (in Chinese. Li, Jian-ping. Vector product wavelet transform. Computer Science, 2000,27(1:8890 (in Chinese. Li, Jian-ping. Analytic construction of wavelet filter coefficients. Computer Science, 2000,27(1:9197 (in Chinese. Li, Jian-ping. Wavelet An

4、alysis & Signal Processing: Theory, Applications and Software Implementations. 2nd ed., Chongqing: Chongqing Publishing House, 2001 (in Chinese. Li, Jian-ping, Tang, Yuan-yan. The Applications of Wavelet Analysis Method. Chongqing: Chongqing University Press, 1999 (in Chinese. Li, Jian-ping. The

5、 up to the Minute Technology of Computer Network and Electronic Commerce: Theory on Vector Product Wavelet Transform. Chongqing: Chongqing Publishing House, 2001 (in Chinese. Sun, Rong-hong, Li, Jian-ping. Introduction of Queue Theory. Beijing: Science Press, 2001 (in Chinese. Li, Jian-ping. Solutio

6、n of the mathematical model and identifiability of parameters for a double porosity medium system based on wavelet analysis. Journal of Systems Science and Mathematical Sciences, 2001,21(4:385397 (in Chinese. Li, Jian-ping. From Fourier analysis to wavelet analysis: recall and development. Computer

7、Science, 1999,26(12:2931 (in Chinese. Li, Jian-ping. Construction of nontensor product spline wavelet basis of L2(Rd(d3 space. Computer Engineering and Science, 2000,22(1:7678 (in Chinese. Burt, P.J., Adelson, E. The Laplacian pyramid as a compact image code. IEEE Transactions on Communications, 198

8、3,31(4:532540. Wickhauser, M.V. Adapted Wavelet Analysis from Theory to Software. New York: SIAM, 1994. 1473. 附中文参考文献: 2 3 李建平 .小波分析与信号处理 理论、应用及软件实现 .重庆 :重庆出版社 ,1997. 李建平 .矢量积小波变换 .计算机科学 ,2000,27(1:8890. 1344 4 5 6 7 8 9 10 11 李建平 .矢量积小波变换 .计算机科学 ,2000,27(1:9197. Journal of Software 软件学报 2002,13(7 李

9、建平 .小波分析与信号处理 理论、应用及软件实现 .第 2 版 .重庆 :重庆出版社 ,2001. 李建平 ,唐远炎 .小波分析方法的应用 .重庆 :重庆大学出版社 ,1999. 李建平 .计算机网络与电子贸易的最新技术 矢量积小波变换理论 .重庆 :重庆出版社 ,2001. 孙荣恒 ,李建平 .排队论基础 .北京 :科学出版社 ,2001. 李建平 .基于小波分析的双重孔隙储集层系统的数学模型求解与参数识别 .系统科学与数学 , 2001,21(4:385397. 李建平 .从傅里叶分析到小波分析 :回顾与发展 .计算机科学 ,1999,26(12:2931. 李建平 . L2(Rd(d3空

10、间非张量积样条小波基的构造 .计算机工程与科学 ,2000,22(1:7678. An Accelerate Algorithm on Fast Wavelet Transform for Signal Processing LI Jian-ping1, 1 2 YAN Zhong-hong1, ZHANG Wan-ping2 (International Centre for Wavelet Analysis and Its Applications, Logistical Engineering University, Chongqing 400016, China; (Departmen

11、t of Applied Mathematics, University of Electronic Science and Technology of China, Chengdu 610054, China E-mail: jpli2222 11 Abstract: An method of analytic construction for wavelet filter coefficients is put forward, and the corresponding fast wavelet transform is set up. It is m

12、ore oversimplified and more speedy than the famous Mallat algorithm. This method can be used adaptively to signal processing for choosing corresponding parameters of wavelet filter. Key words: wavelet transform; filter; fast algorithm; accelerative way; signal processing Received November 6, 2000; accepted April 17, 2001 Supported by the National Natural Sc

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