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The Trapezoidal Method of Steepest-Descent and its Application to Adaptive Filtering

机译:梯形最速下降法及其在自适应滤波中的应用

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摘要

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.
机译:在连续时间内重新使用最速下降法。结果表明,连续时间形式是一个向量微分方程,通过积分可以找到其解。由于数值积分有多种形式,因此我们通过使用梯形积分解决方案展示了传统解决方案的替代方案。反过来,这又给出了稍微修改的最小均方(LMS)算法。

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