DocumentCode
1646585
Title
Determination of wavelet denoising threshold by PSO and GA
Author
Jiang, Mingyan ; Yuan, Dongfeng ; Jiang, Zheng ; Wei, Miaomiao
Author_Institution
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan
Volume
2
fYear
2005
Firstpage
1426
Abstract
In this paper, we drive the wavelet threshold error function, adopt the particle swarm optimization (PSO) and genetic algorithm (GA) to determine the optimal wavelet denoising threshold, the results show that our methods have better performance in signal denoising processing
Keywords
genetic algorithms; particle swarm optimisation; signal denoising; wavelet transforms; GA; PSO; genetic algorithm; particle swarm optimization; signal denoising processing; wavelet threshold error function; Discrete wavelet transforms; Equations; Gaussian noise; Image reconstruction; Information science; Noise reduction; Signal processing; Wavelet coefficients; Wavelet domain; Wavelet transforms;
fLanguage
English
Publisher
ieee
Conference_Titel
Microwave, Antenna, Propagation and EMC Technologies for Wireless Communications, 2005. MAPE 2005. IEEE International Symposium on
Conference_Location
Beijing
Print_ISBN
0-7803-9128-4
Type
conf
DOI
10.1109/MAPE.2005.1618192
Filename
1618192
Link To Document