MATLAB Implementation of Adaptive Noise Cancellation

This paper introduces the concept and principles of adaptive noise cancellation, and provides a detailed explanation of how to design an adaptive filter-based noise cancellation system using MATLAB. Adaptive noise cancellation is an effective signal processing technique that helps eliminate environmental noise interference from signals, thereby improving signal quality. The article delves into the working mechanism of adaptive noise cancellation, explains fundamental concepts of adaptive filters, and elaborates on the step-by-step process for system design using MATLAB. Implementation aspects include using key MATLAB functions like adaptfilt.lms for Least Mean Squares (LMS) algorithm configuration, filter for signal processing operations, and real-time adaptation techniques through iterative coefficient updates. Readers will gain comprehensive understanding of adaptive noise cancellation principles and applications, along with practical MATLAB programming skills for implementing functional noise cancellation systems through proper algorithm selection, convergence parameter tuning, and performance evaluation using metrics like Mean Square Error (MSE).