Cascade Spline Adaptive Filtering based on Normalised Least Mean Square Algorithm

Cascade architecture on spline adaptive filtering (CSAF) based on normalised least mean square (NLMS) algorithm is furnished to investigate for nonlinear system. Spline adaptive filtering comprises of a sandwich of the first linear adaptive filter (LAF), nonlinear memoryless adaptive Lookup Table with the spline interpolation function and the second LAF applied by stochastic gradient-based approach. NLMS is considered for the fast convergence. Observational results from experiments conduct the proposed CSAF algorithm in terms of mean square error scheme for effectiveness that is guaranteed a good convergence rate to the existing algorithm.