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Least Mean Squares Algorithm Overview by kadourziani is a document available to read on EtoBox.
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The document discusses the Least-Mean-Square (LMS) algorithm, which is used to adaptively update the tap weights of a transversal filter. It begins by describing gradient descent methods for finding the optimal tap weights, including the method of steepest descent. It then introduces the LMS algorithm, which approximates the cost function with the instantaneous error to allow for practical implementation. The LMS algorithm iteratively updates the tap weights based on the input signal, desired output, and er
- Author
- kadourziani
- Language
- EN