Steiglitz-McBride adaptive notch filter based on a variable-step-size LMS algorithm and its application to active noise control

DOI10.1002/ACS.2570zbMath1348.93262OpenAlexW2110151290MaRDI QIDQ2828574

S. V. Narasimhan, S. V. Roopa, B. Babloo

Publication date: 26 October 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.2570

zbMATH Keywords

active noise controladaptive notch filterSteiglitz-McBride methodrobust variable-step-size least-mean-square algorithm

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Sensitivity (robustness) (93B35) Adaptive control/observation systems (93C40) Estimation and detection in stochastic control theory (93E10) Least squares and related methods for stochastic control systems (93E24)

Related Items (1)

Improved feature least mean square algorithm

Cites Work

• Unnamed Item
• Improved active noise control performance based on Laguerre lattice
• Laguerre escalator lattice and feedforward/feedback active noise control
• A new IIR adaptive notch filter

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