Abstract

This paper proposes an adaptive filtering algorithm for Stereophonic Acoustic Echo Cancellation (SAEC) in order to obtain computational complexity reduction and convergence rate improvement. The hybrid mono/stereo structure between Fast Affine Projection (FAP) and Frequency-domain Normalized Least Mean Square (F-NLMS) algorithms is introduced, based on subband processing. Simulation results on recorded speech signals suggest that convergence rate can be improved at low computational complexity.