New FIR filter-based adaptive algorithms incorporating with commutation error to improve active noise control performance

DOI10.1016/j.automatica.2006.08.019zbMath1111.93079OpenAlexW1992450930MaRDI QIDQ869085

Publication date: 26 February 2007

Published in: Automatica (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.automatica.2006.08.019

zbMATH Keywords

adaptive algorithms active noise control residual error convergence speed finite impulse response filters commutation error

Mathematics Subject Classification ID

Filtering in stochastic control theory (93E11) Stochastic learning and adaptive control (93E35)

Related Items (4)

Self-adapting variable step size strategies for active noise control systems with acoustic feedback ⋮ Development and convergence analysis of new least‐mean‐square‐based algorithm equipped with exponential‐decay step size and disturbance compensation for active noise control ⋮ A dual filtering scheme for nonlinear active noise control ⋮ New IIR filter-based adaptive algorithm in active noise control applications: Commutation error-introduced LMS algorithm and associated convergence assessment by a deterministic approach

Cites Work

Convergence analysis of the filtered-U algorithm for active noise control

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