Fast communication: Proportionate normalized subband adaptive filter algorithms for sparse system identification

Authors:
Mohammad Shams Esfand Abadi
Affiliations:
Department of Electrical Engineering, Shahid Rajaee Teacher Training University, Tehran, Iran
Venue:
Signal Processing
Year:
2009

Citing 8
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Abstract

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), @m-law PNSAF (MPNSAF), improved PNSAF (IPNSAF), and improved IPNSAF (IIPNSAF) which are suitable for sparse system identification. Simulation results show good performance of the proposed algorithms.