Proportionate Normalized Subband Adaptive Filter Algorithms For Sparse System Identification

摘要

In this paper, the concept of proportionate adaptation is extended to the normalized subband adaptive filters (NSAFs) and four proportionate adaptive filters are established. The proposed algorithms are proportionate normalized subband adaptive filter (PNSAF), /(-law PNSAF (MPNSAF), improved PNSAF (IPNSAF), and improved 1PNSAF (I1PNSAF) which are suitable for sparse system identification. Simulation results show good performance of the proposed algorithms.