Subband adaptive filtering with critical sampling using the data selective affine projection algorithm

Subband adaptive filtering techniques have been recently developed for a number of applications, such as acoustic echo cancellation and wideband active noise control. Such applications require adaptive filters with hundreds of taps, resulting in high computational complexity and low convergence rate for LMS based algorithms. For fullband system, a variety of adaptive algorithm, which improve the adaptation convergence rate, have been developed. Most of them (such as the affine projection algorithm), however, present larger complexity than the conventional LMS algorithm. Such computational load can be reduced by making use of subband processing techniques. Considering these matters, we apply the affine projection algorithm (APA) in a recently proposed subband adaptive filter structure.