Audio Processing by Lattice RLS Algorithm Based Linear Adaptive Filter

This RLS Lattice algorithm is developed by using vector space treatment with the introduction of Forgetting Factor such that it offers fast convergence and good error performance in the presence of noise. A linear Adaptive filter using this algorithm is developed which has advantage that we can directly add the next stage to the existing previous filter stage without changing the previous filter coefficients to obtain the higher order filter. An audio signal with Gauss White noise is simulated in the noise cancellation system on MATLAB platform. This algorithm has very less computational complexity since it does not include any inverse matrix calculation which is highly efficient. The experimental resultdemonstrates the importance of using newly updated iterations for the sensitivity of the noise estimation algorithm performance by introducing the forgetting factor in this algorithm. Keywords— Adaptive filters, RLS Algorithm, Adaptive noise cancellation, Vector space