A fast convergence normalized least-mean-square type algorithm for adaptive filtering

DOI10.1002/ACS.2423zbMath1337.93104OpenAlexW1593440482MaRDI QIDQ2802056

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Publication date: 22 April 2016

Published in: International Journal of Adaptive Control and Signal Processing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1002/acs.2423

zbMATH Keywords

adaptive filterscomplexity reductionnormalized least mean square algorithmfast transversal filter algorithm

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Stochastic programming (90C15) Adaptive control/observation systems (93C40) Least squares and related methods for stochastic control systems (93E24) System structure simplification (93B11)

Cites Work

• A simplified FTF-type algorithm for adaptive filtering
• Fast, recursive-least-squares transversal filters for adaptive filtering
• On the convergence behavior of the LMS and the normalized LMS algorithms

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