The Recursive Least Squares (RLS) filter is an adaptive filtering algorithm used for estimating the coefficients of a filter in an optimal way by minimizing the mean square error (MSE) between the desired output and the actual output of the filter. It is particularly useful in applications such as system identification, adaptive noise cancellation, echo cancellation, and any scenario where the characteristics of the signal or system may change over time.
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