LMS adaptive filtersApproximate computingApproximate multipliersPower versus quality trade-offAdaptive filters based on least-mean-square (LMS) algorithm are used in several applications in virtue of their good steady-state performance, numerical stability, and acceptable computational complexity. The hardware...
目录LMS算法概述: LMS主要原理: LMS实现步骤: LMS替代矩阵求逆示例: LMS算法概述: LMS(Least Mean Square),源自LEAST-MEAN-SQUARE ADAPTIVE FILTERS,通过迭代的方式估计出待求参数的最优逼近,常用于滤波。 以为例,, 分别为已知量,为未知量。常规的求解方式即 求得精确解(将看成输入信号,看作未知系统,看作输出...
图书Least-Mean-Square Adaptive Filters 介绍、书评、论坛及推荐
Least-Mean-Square Adaptive Filters (Haykin/Least-Mean-Square Adaptive Filters) || Error Whitening Wiener Filters: Theory and Algorithms Location based services are gaining more attention and several studies are carried out to create innovative and new application that will make it easier to... S ...
LMS filters use a gradient descent method in which the filter coefficients are updated based on the instantaneous error signal. Adaptive filters are often used in communication systems, equalizers, and noise removal. The CMSIS DSP Library contains LMS filter functions that operate on Q15, Q31, ...
aThere are many options for realizing adaptive filters, including FIR, IIR lattice and transform domain architectures. There are also a large number of algorithmic choices for implementing the coefficient update process - least-mean-square, fast Kalman, conventional Kalman, square-root Kalman and recu...
Lattice form adaptive infinite impulse response filtering algorithm for active noise control In some situations of active noise control, infinite impulse response (IIR) filters are more suitable than finite impulse response (FIR) filters owing to t... L Jing,C Shen,X Qiu,... - 《Journal of ...
A problem commonly encountered in the design of adaptive filters is selection of the step size parameter, μ. In the harmonic reduction problem, a step size parameter μ(n) is used. To evaluate the a posteriori estimation error έ at the nth instant, (11.31)έ(n)=d(n)–w(n+1)Tx...
展开 关键词: Hilbert spaces adaptive filters learning (artificial intelligence) least mean squares methods adaptive filter kernel Hilbert spaces kernel least-mean-square algorithm machine learning sample-by-sample update Kernel methods Tikhonov regularization least m DOI...