LMS Adaptive Algorithm Implementation

MATLAB 963B 247 views 0 downloads 1 credits
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Resource Overview

Custom MATLAB source code for LMS adaptive algorithm implementation. This program generates a signal combined with white noise sequence and utilizes the LMS algorithm for adaptive noise cancellation. lmsx.m serves as the adaptive filter function, while task2.m acts as the main function that calls lmsx.m.

Detailed Documentation

This is a custom MATLAB source code implementation of the LMS (Least Mean Squares) adaptive algorithm. The program primarily generates a composite signal consisting of an original signal combined with white noise sequence, then employs the LMS algorithm to adaptively eliminate noise components. The implementation consists of two key files: lmsx.m contains the core adaptive filtering function implementing the weight update formula w(n+1) = w(n) + μ*e(n)*x(n), where μ represents the step size parameter, e(n) denotes the error signal, and x(n) is the input vector. task2.m functions as the main script that initializes parameters, generates test signals, and invokes lmsx.m for iterative filtration. Through this implementation, users can effectively perform noise cancellation in signal processing applications, thereby enhancing signal quality and clarity by adaptively adjusting filter coefficients based on instantaneous error measurements.

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