Adaptive Averaging Algorithm for Noise Cancellation in Musical Instruments Signal

The signal characteristics varies so fast that too of noise signal, for cancellation of noise and handling of it is very difficult. The FIR filter would not able to converge fast so that we get the desired output. In that case we have go for the other option, adaptive filters may be utilize because of their fast convergent rate. Least Mean Square (LMS), Normalized Least Mean Squares (NLMS) and Recursive Least Squares (RLS) algorithms frequently used. But these algorithms have problems of high computational complexity and stability, for that Averaging Algorithm is applied because of its fast convergence rate and low computation complexity. In the present work we are implementing Averaging Algorithm for noise reduction in the signals of the musical instruments. For that we have done experiments with Gaussian noise. The implementation is done on Matlab software.