Adaptive Noise Cancellation Algorithm Implementation in MATLAB

In this article, I will introduce the adaptive noise cancellation algorithm and demonstrate its implementation in MATLAB. This algorithm is specifically designed to process and eliminate unwanted noise signals that may interfere with the desired primary signal. By employing adaptive noise cancellation techniques, we can effectively remove noise components and obtain cleaner, more accurate signals. The article will cover both the fundamental principles of the algorithm and its practical implementation, including MATLAB code development strategies. I will explain key aspects such as the adaptive filter structure, least mean squares (LMS) algorithm implementation, and parameter tuning considerations. The implementation typically involves creating an adaptive filter that continuously adjusts its coefficients to minimize the error between the desired signal and the filtered output. This approach utilizes reference noise inputs to estimate and subtract noise components from the primary signal. I hope this comprehensive guide will help you better understand adaptive noise cancellation algorithms and enable you to apply them effectively in practical scenarios.