An improved acoustic interference canceller using optimized IIR/FIR filter banks

In this paper an efficient adaptive noise canceller is presented. The canceller is based on low complexity infinite impulse response IIR filterbank at the analysis stage and an optimized finite impulse response FIR filterbank at the synthesis stage. The work is motivated by the fact that, the least mean square LMS adaptive noise cancellers suffer from slow convergence due to colored interfering signals, as well as high computational burden, due to long signal paths, as in acoustic environment. The efficiency of the proposed canceller was evaluated experimentally for white and colored interferences. The new scheme offers a lower computational complexity than that offered by oversampled solution with FIR filterbanks at analysis stage.