Hybrid and Generalized Variable Step Size Adaptive Filtering

摘要

In this paper, we propose novel way to generalize the concept of adaptive filtering techniques with hybrid solution and generalization of variable step size normalized least-mean-square adaptive filter (VSS NLMS). Simulations experiments in the context estimation of sparse desired impulse response have shown that introduced filters outperform the classical reference solution.