DocumentCode
1563995
Title
Wavelet Threshold Optimization with Artificial Fish Swarm Algorithm
Author
Jiang, Mingyan ; Yuan, Dongfeng
Author_Institution
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan
Volume
1
fYear
2005
Firstpage
569
Lastpage
572
Abstract
The artificial fish swarm algorithm (AFSA) is discussed in this paper, and an improved optimal wavelet threshold algorithm is presented based on AFSA in signal denoising processing. Simulations show that our method has better performance than the conventional wavelet-based denoising threshold method
Keywords
evolutionary computation; signal denoising; wavelet transforms; artificial fish swarm algorithm; signal denoising processing; wavelet threshold optimization; Ant colony optimization; Design engineering; Fellows; Information science; Marine animals; Noise reduction; Particle swarm optimization; Signal denoising; Signal processing algorithms; Switches;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location
Beijing
Print_ISBN
0-7803-9422-4
Type
conf
DOI
10.1109/ICNNB.2005.1614677
Filename
1614677
Link To Document