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Research of wavelet threshold de-noising method based on Particle Swarm Optimization

GUO Xiao-xia,YANG Hui-zhong School of Communication & Control Engineering,Jiangnan University,Wuxi,Jiangsu 214122,China  
After studying the characteristics of Particle Swarm Optimization,Particle Swarm Optimization is used in wavelet domain to optimize the thresholds,and garrote shrinkage function is used to process wavelet decomposition coefficients,which overcome the shortcoming of discontinuity of hard-threshold and decreased the fixed bias of soft-threshold.The simulation results show that this new method has better de-noising effects than traditional methods.
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