Fast Sparse Adaptive Filtering Algorithms for Acoustic Echo Cancellation

In this communication, fast adaptive algorithms are suggested to enhance the performance of the Fast- Normalized Least Mean Square (FNLMS) algorithm in Acoustic Echo Cancellation (AEC) applications with a sparse system. We propose two new algorithms, the first one is the Zero-Attracting (ZA) FNLMS which gives a better performance when the unknown system is extremely sparse. However, by decreasing ...