Adaptive Filtering in Echo Cancellers

This document discusses the topics of adaptive filtering and echo cancellers, which are crucial concepts in digital signal processing. Adaptive filtering finds extensive applications in the signal processing domain, including speech signal enhancement, image processing, and other areas. In echo cancellers, adaptive filtering serves as an indispensable component for eliminating undesirable echoes. The document also highlights the simulation of adaptive filtering using MATLAB. During the simulation process, we can validate the effectiveness of adaptive filtering algorithms by processing data streams, typically involving implementations of LMS (Least Mean Squares) or RLS (Recursive Least Squares) algorithms. These implementations often utilize MATLAB functions like adaptfilt.lms or custom adaptive filter scripts that adjust filter coefficients in real-time to minimize error signals. Therefore, the content covered in this document is highly beneficial for learning and research in the field of digital signal processing, providing practical insights into algorithm behavior through code-based simulations.