Development and convergence analysis of new least‐mean‐square‐based algorithm equipped with exponential‐decay step size and disturbance compensation for active noise control
From MaRDI portal
Publication:5408378
DOI10.1002/ACS.2333zbMath1284.93268OpenAlexW1590409752MaRDI QIDQ5408378
Publication date: 10 April 2014
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.2333
convergence analysisactive noise controldisturbance compensationcommutation errorleast-mean-square (LMS) algorithm
Perturbations in control/observation systems (93C73) Least squares and related methods for stochastic control systems (93E24)
Cites Work
- New FIR filter-based adaptive algorithms incorporating with commutation error to improve active noise control performance
- New IIR filter-based adaptive algorithm in active noise control applications: Commutation error-introduced LMS algorithm and associated convergence assessment by a deterministic approach
- A NEW INFINITE IMPULSE RESPONSE FILTER-BASED ADAPTIVE ALGORITHM FOR ACTIVE NOISE CONTROL
This page was built for publication: Development and convergence analysis of new least‐mean‐square‐based algorithm equipped with exponential‐decay step size and disturbance compensation for active noise control
