Title :
Wavelet Threshold Optimization with Artificial Fish Swarm Algorithm
Author :
Jiang, Mingyan ; Yuan, Dongfeng
Author_Institution :
Sch. of Inf. Sci. & Eng., Shandong Univ., Jinan
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;
Conference_Titel :
Neural Networks and Brain, 2005. ICNN&B '05. International Conference on
Conference_Location :
Beijing
Print_ISBN :
0-7803-9422-4
DOI :
10.1109/ICNNB.2005.1614677
