Development of efficient adaptive noise canceller using low complexity filter banks

In this paper an efficient adaptive noise canceller is presented. The canceller is based on low complexity optimized multirate filter banks. This work was motivated by the fact that 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 analysis stage is implemented with maximally decimated infinite impulse response IIR filter bank based on second order allpass sections. The synthesis filter bank is optimized in the input/output relationship leading to near perfect reconstruction and compensating for phase distortion. The proposed scheme offers a lower computational complexity than that offered by oversampled solution. The efficiency of the proposed canceller was compared to an equivalent system that uses over sampled finite impulse response FIR filter banks at the analysis and synthesis stages.