= Least mean squares filter
{wiki=Least_mean_squares_filter}
The Least Mean Squares (LMS) filter is an adaptive filter used primarily in signal processing and control systems to minimize the mean squared error between a desired signal and the actual output of the filter. The LMS filter is commonly employed in applications such as noise cancellation, echo cancellation, and system identification. \#\#\# Key Characteristics of LMS Filter: 1. **Adaptive Filtering**: The LMS algorithm adapts the filter coefficients based on the incoming signal and the errors in the output.
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