Adaptive Noise Cancellation using Multirate Techniques

Abstract—This paper presents development of a new adaptive structure based on multirate filter and testing the same for deterministic, speech and music signals. A new class of FIR filtering algorithm based on the multirate approach is proposed. They not only reduce the computational complexity in FIR filtering, but also retain attractive implementation related properties such as regularity and multiply-and-accumulate (MAC)-structure. By virtue of the advantages of multirate FIR filtering algorithm, the proposed scheme can reduce the required computational complexity and reserve the MAC structure. It is observed that the convergence rate and steady state error is improved. An application of this approach in Adaptive Noise Canceller is considered.