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中文摘要：
研究粒子群优化算法的特性，将其应用于小波域，对阂值进行寻优，并使用garrote阈值函数量化小波分解系数，而garrote阈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。
英文摘要：
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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同项目期刊论文
Robust Kalman filter of continuous-time Markov jump linear systems based on state estimation perform
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