The linear least mean squares (LMS) algorithm has been recently extended to a reproducing kernel Hilbert space, resulting in an adaptive filter built from a weighted sum of kernel functions evaluated at each incoming data sample. With time, the size of the filter as well as the computation ...
1. The Least Mean Squares algorithm (LMS) SD研究的最陡下降方法是一种递归计算信号统计量已知时维纳滤波器的递归算法 (knowledge about R och p)。 问题是,这个信息通常是未知的! LMS是一种基于与最陡下降法相同的原理的方法,但其统计量是连续估计的。 由于统计量是连续估计的,因此LMS算法可以适应信号统计量...
lms = dsp.LMSFilter(Name,Value) Description lms = dsp.LMSFilter returns an LMS filter object, lms, that computes the filtered output, filter error, and the filter weights for a given input and a desired signal using the least mean squares (LMS) algorithm. example lms = dsp.LMSFilter(L)...
3.3.1 Least mean square (LMS) The LMS algorithm adjusts the filter parameters in order to minimize the mean squares error between the filter output signal and the expectations output signals. LMS is based on a steepest descent algorithm. The updated filter coefficient for LMS algorithm is given...
Direct Feedthrough no Multidimensional Signals no Variable-Size Signals yes Zero-Crossing Detection no More About expand all References [1] Hayes, M.H.Statistical Digital Signal Processing and Modeling.New York: John Wiley & Sons, 1996. Extended Capabilities ...
A two-dimensional adaptive algorithm which resists impulsive interference is presented. The proposed two-dimensional median least mean squares (TDMLMS) algorithm is a gradient-based steepest descent algorithm and employs the sample median of the instantaneous gradients within a suitable window as a ...
blms = dsp.BlockLMSFilter(length,blocksize) blms = dsp.BlockLMSFilter(Name,Value) Description blms= dsp.BlockLMSFilterreturns an adaptive FIR filter,blms, that filters the input signal and computes filter weights based on the block least mean squares (LMS) algorithm. ...
One of the efficient cooperation structures in distributed adaptive processing is the diffusion strategy, which provides a platform for the cooperation of nodes that run an adaptive algorithm, such as the least mean-squares (LMS) algorithm. Despite the studies that have been done on the diffusion-...
1) least mean square(LMS)algorithm 最小二乘(LMS)算法2) PLS 偏最小二乘算法 1. Partial least square (PLS) analysis has been used to build prediction models with calibration data of 67 samples. 分析了经过简单处理的土壤样本光谱特性,将正交信号校正与偏最小二乘算法回归相结合,建立了土壤光谱...
1) batch least-squares algorithm 一次完成最小均方算法 2) normalized least mean square algorithm 归一化最小均方算法 3) normalized least mean square 归一化最小均方差算法 4) normalized least mean square(NLMS) 归一法最小均方 5) LMS algorithm ...