A new adaptive recursive RLS-based fast-array IIR filter for active noise and vibration control systems

DOI10.1016/j.sigpro.2010.06.013zbMath1203.93197DBLPjournals/sigpro/MontazeriP11OpenAlexW1997141049WikidataQ59168289 ScholiaQ59168289MaRDI QIDQ612545

Javad Poshtan, Allahyar Montazeri

Publication date: 29 December 2010

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

Full work available at URL: https://doi.org/10.1016/j.sigpro.2010.06.013

zbMATH Keywords

stabilityactive noise and vibration controladaptive IIR filtersfast array algorithmrecursive least square

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Fuzzy control/observation systems (93C42)

Related Items (1)

Adaptive attenuation of unknown and time-varying narrow band and broadband disturbances

Cites Work

• Convergence analysis of the filtered-U LMS algorithm for active noise control in case perfect cancellation is not possible
• Convergence analysis of the filtered-U algorithm for active noise control
• Adaptive control
• Convergence analysis of the multiple-channel filtered-U recursive LMS algorithm for active noise control.
• Numerically stable fast convergence least-squares algorithms for multichannel active sound cancellation systems and sound deconvolution systems
• The solution of a new stability problem for controlled systems
• A NEW INFINITE IMPULSE RESPONSE FILTER-BASED ADAPTIVE ALGORITHM FOR ACTIVE NOISE CONTROL
• A convergence proof for a hyperstable adaptive recursive filter (Corresp.)
• Analysis of recursive stochastic algorithms
• The Gauss‐Seidel fast affine projection algorithm for multichannel active noise control and sound reproduction systems
• A fast‐array Kalman filter solution to active noise control

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