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In this presentation the method of least squares will be used to derive a recursive algorithm for automatically adjusting the coefficients of a tapped-delay-line filter, without invoking assumptions on the statistics of the input signals. This procedure, called the recursive least-squares (RLS) algorithm, is capable of realizing a rate of convergence that is much faster than the LMS algorithm, because the RLS algorithm utilizes all the information contained in the input data from the start of th25

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Adaptive Tapped-delay-line Filters Using the Least Squares


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