LMS算法在平滑伪Wigner分布中的应用

An Application of the LMS Algorithm in Smoothing Pseudo Wigner Distribution

提出了最小均方(LMS)算法在信号时频分布中的一种新的简单应用.频域LMS自适应结构使用信号项与交叉项的连续和时变的状态去模拟平滑伪Wigner-Ville分布,表明相应的平滑窗是一个指数函数,这个指数函数的时间常量在自适应算法中由步长参数所定义.

A new and simple application of the least mean square (LMS) algorithm in timefrequency distributions of signals is presented. The constant and the time-varying behavior of the autoterms and cross-terms are used by the frequency-domain LMS adaptive structure to simulate the smoothed pseudo Wigner -Ville distribution. It is shown that the corresponding smoothing window is an exponential function whose time constant is defined by the step-size parameter used in the adaptive algorithm.