计算机工程与应用
計算機工程與應用
계산궤공정여응용
COMPUTER ENGINEERING AND APPLICATIONS
2009年
31期
122-124
,共3页
粒子群优化算法%阈值去噪%阈值函数%信噪比
粒子群優化算法%閾值去譟%閾值函數%信譟比
입자군우화산법%역치거조%역치함수%신조비
Particle Swarm Optimization%threshold de-noising%threshold function%Signal to Noise Ratio(SNR)
研究粒子群优化算法的特性,将其应用于小波域,对阈值进行寻优,并使用garrote阈值函数量化小波分解系数,而garrote阚值函数既克服了硬阈值函数的不连续性,也减小了软阈值函数存在的恒定偏差.实验仿真结果表明,提出的方法较传统方法具有更好的去噪效果.
研究粒子群優化算法的特性,將其應用于小波域,對閾值進行尋優,併使用garrote閾值函數量化小波分解繫數,而garrote闞值函數既剋服瞭硬閾值函數的不連續性,也減小瞭軟閾值函數存在的恆定偏差.實驗倣真結果錶明,提齣的方法較傳統方法具有更好的去譟效果.
연구입자군우화산법적특성,장기응용우소파역,대역치진행심우,병사용garrote역치함수양화소파분해계수,이garrote감치함수기극복료경역치함수적불련속성,야감소료연역치함수존재적항정편차.실험방진결과표명,제출적방법교전통방법구유경호적거조효과.
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.
