Proportionate normalized subband adaptive filter algorithms for sparse system identification

Proportionate normalized subband adaptive filter algorithms for sparse system identification

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), μ -law PNSAF (MPNSAF), improved PNSAF (...

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Veröffentlicht in:Signal processing 2009-07, Vol.89 (7), p.1467-1474
1. Verfasser: Abadi, Mohammad Shams Esfand
Format: Artikel
Sprache:eng
Schlagworte:
Adaptation
Adaptive filters
Algorithms
Applied sciences
Computer simulation
Detection, estimation, filtering, equalization, prediction
Exact sciences and technology
Information, signal and communications theory
Miscellaneous
Normalized subband adaptive filter
Proportionate
Signal and communications theory
Signal processing
Signal, noise
Sparse system identification
System identification
Telecommunications and information theory
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Beschreibung
Zusammenfassung: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), μ -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.
ISSN:0165-1684
1872-7557
DOI:10.1016/j.sigpro.2008.12.025