This paper aims to develop a single-trial estimation of the P300 amplitudes and latencies by using the least mean squares (LMS) adaptive filtering method. Results for real data from people with amyotrophic lateral sclerosis (ALS) have shown that the LMS filter can be effectively used to ...
Library of Congress Cataloging-in-Publication Data: Least-mean-square adaptive filters/edited by S. Haykin and B. Widrow p. cm. Includes bibliographical references and index. ISBN 0-471-21570-8 (cloth) 1. Adaptive filters—Design and construction—Mathematics. 2. Least squares. I. Widrow, ...
Consistent Normalized Least Mean Square Filtering With Noisy Data Matrix. When the ordinary least squares method is applied to the parameter estimation problem with noisy data matrix, it is well-known that the estimates turn out ... S Jo,WK Sang - 《IEEE Transactions on Signal Processing》 被...
SLIDING MODE FUZZY CONTROL WITH ADAPTIVE LEAST MEAN SQUARES FILTER FOR BENCHMARK PROBLEM ON WIND-EXCITED BUILDING 来自 ResearchGate 喜欢 0 阅读量: 34 作者:SB Kim,CB Yun 摘要: A sliding mode fuzzy control (SMFC) algorithm is applied to design a controller for a benchmark problem on a wind-...
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。
The filtered‐X algorithm developed by Widrow and Burgess is an alternate form of the least‐mean‐square (LMS) algorithm for use when there are transfer f... ERIKSSON,L.J. - 《Journal of the Acoustical Society of America》 被引量: 355发表: 1991年 On the development of adaptive hybrid ...
In this paper we present state-space recursive least-squares (SSRLS) filter. This algorithm is a new addition to the family of RLS filters. We cover core topics like batch processing, recursive updates, initialization and steady state solution, etc. SSRLS is very well-suited to estimate a wid...
Two adaptive filters, such as, least-mean-square (LMS) and normalized-least-mean-square (NLMS) are applied to remove the noises. For better clarification simulation results are compared in terms of different performance parameters such as, power spectral density (PSD), spectrogram, frequency ...
Least Mean Squares Regression(一) 1. Examples 假设我们想从一辆汽车的重量和年龄来预测它的里程数: 我们想要的是:一个可以使用x1x1和x2x2来预测里程的function。 线性回归:利用线性模型预测连续值的策略 假设:输出是输入的线性函数 Mileage=w0+w1⋅x1+w2⋅x2Mileage=w0+w1⋅x1+w2⋅x2 学习:利用...
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...