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Description: 这是一个来自权威书籍的最小均方算法(LMS algorithm),也叫Widrow-Hoff算法。-This is a book from the authority of the least mean square algorithm (LMS algorithm), also known as Widrow-Hoff algorithm.
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Author: 吴 |
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Description: 最小均方自适应滤波器（LMS）是由Widrow和Hoff在1960年始创，它是以横向（即抽头延时线）结构为基础构建的。其最基本的形式设计简单，性能也高度高效。这两个特性使得LMS滤波器在各种应用中非常流行。递归最小二乘自适应滤波器（RLS）由于可提供快收敛速率而且对输入信号相关矩阵特征值扩散度变化不敏感，从而突破了LMS族的某些实际限制；其代价是增加了计算的复杂度。-the LMS algorithm of adaptive filter
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Description: LMS由美国斯坦福大学的Widrow和Hoff在研究自适应理论时提出的，由于其容易实现而很快得到了广泛应用，成为自适应滤波的标准算法。
-LMS Widrow of Stanford University by the United States and Hoff adaptive theory put forward in the study, because of its easy to implement and will soon be widely used as a standard adaptive filtering algorithms.
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Author: heyan |
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Description: The WH class is an implementation of the Widrow-Hoff.
The Widrow-Hoff (WH) algorithm, often called Least Mean Square (LMS), is an online-algorithm. The WH can be interpreted as a gradient descent procedure on the error space. In other words, the WH tries to move in the direction in which the loss is descreasing the fastest.
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Size: 48128 |
Author: kader125 |
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Description: Widrow-Hoff(LMS) : Linear Discriminants
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Author: eehadi |
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Description: 由美国斯坦福大学的Widrow和Hoff在研究自适应理论时提出的LMS算法，由于其容易实现而很快得到了广泛应用，成为自适应滤波的标准算法。-LMS algorithm has been widely used due to its easy to implement, become=ing the standard of the adaptive filtering algorithm.
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Author: 卢松品 |
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Description: 感知器和自适应线性元件在历史上几乎是同时提出的，并且两者在对权值的调整的算法非常相似。它们都是基于纠错学习规则的学习算法。感知器算法存在如下问题：不能推广到一般的前向网络中；函数不是线性可分时，得不出任何结果。而由美国斯坦福大学的Widrow和Hoff在研究自适应理论时提出的LMS算法，由于其容易实现而很快得到了广泛应用，成为自适应滤波的标准算法。-Least mean square error algorithm
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Author: simon |
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