The trapezoidal method of steepest-descent and its application to adaptive filtering

T. Moir
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引用次数: 3

Abstract

The method of steepest-descent is re-visited in continuous time. It is shown that the continuous time version is a vector differential equation the solution of which is found by integration. Since numerical integration has many forms, we show an alternative to the conventional solution by using a Trapezoidal integration solution. This in turn gives a slightly modified least-mean squares (LMS) algorithm. Keyword: Steepest-Descent, Least-mean squares (LMS), Adaptive filters.
梯形最陡下降法及其在自适应滤波中的应用
在连续时间内重新考察了最陡下降法。证明了连续时间版本是一个矢量微分方程,其解可通过积分求出。由于数值积分有多种形式,我们通过使用梯形积分解来展示一种替代传统解的方法。这反过来又给出了一个稍微改进的最小均方(LMS)算法。关键词:最陡下降,最小均方,自适应滤波器。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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