Proportionate normalized subband adaptive filter algorithms for sparse system identification

DOI10.1016/J.SIGPRO.2008.12.025zbMath1178.94132OpenAlexW2051345391MaRDI QIDQ1032401

Mohammad Shams Esfand Abadi

Publication date: 26 October 2009

Published in: Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.sigpro.2008.12.025

zbMATH Keywords

sparse system identificationproportionatenormalized subband adaptive filter

Mathematics Subject Classification ID

Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10) Detection theory in information and communication theory (94A13)

Related Items (3)

Variable step size norm-constrained adaptive filtering algorithms ⋮ Subband adaptive filtering with \(l_1\)-norm constraint for sparse system identification ⋮ A new subband adaptive filtering algorithm for sparse system identification with impulsive noise

Cites Work

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• Adaptive algorithms for sparse echo cancellation
• Adaptive filtering in subbands with critical sampling: analysis, experiments, and application to acoustic echo cancellation
• Proportionate adaptive algorithms for network echo cancellation

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