Iterated partitioned block frequency-domain adaptive filtering for acoustic echo cancellation

Design and implementation of adaptive digital signal processing algorithms for broadband applications') and IWT project AUT/970517: MUSETTE ('Multimicrophone Signal Enhancement Techniques for handsfree telephony and voice controlled systems'). The scientific responsibility is assumed by its authors. Abstract For high quality acoustic echo cancellation long echoes have to be suppressed. Classical LMS–based adaptive filters are not attractive as they are suboptimal from a computational point of view. Multirate adaptive filters such as the partitioned block frequency–domain adaptive filter (PBFDAF) are good alternatives and are widely used in commercial echo cancellers nowadays. In this paper the PBFDRAP is analyzed, which combines frequency–domain adaptive filtering with so– called " row action projection ". Fast versions of the algorithm will be derived and it will be shown that the PBFDRAP outperforms the PBFDAF in a realistic echo cancellation setup.