基于新步长调整函数的正交小波变换自适应滤波方法

Orthogonal Wavelet Transform Adaptive De-Noising Method Based on New Step Adjustment Function

研究一种基于新的步长调整函数的正交小波变换最小均方自适应滤波算法,阐述了基于正交小波变换的自适应滤波原理,解释了正交小波变换能够提高算法收敛速度的原因。将一种新的步长调整函数应用于正交小波变换最小均方自适应滤波系统,通过模型识别检验了算法的收敛速度和稳态误差。使用该方法进行体震信号的自适应滤波,获得了更快的收敛速度和更好的滤波效果。

A minimum mean square adaptive filtering algorithm based on the new step adjustment function of orthogonal wavelet transform was studied.The adaptive wavelet filtering method of orthogonal wavelet transform was expounded,and the reason why orthogonal wavelet transform can improve the convergence speed of the algorithm was explained.A new step adjustment function was applied to the least mean square adaptive filtering system based on orthogonal wavelet transform.The convergence speed and steady state error of the algorithm were tested by model recognition.The method was used to adaptively filtering the body vibration signal,a faster convergence speed and better filtering effect were achieved.