Pregled bibliografske jedinice broj: 41620
Active Noise Control with Adaptive IIR Filter Based on Discrete Legendre Functions
Active Noise Control with Adaptive IIR Filter Based on Discrete Legendre Functions // Proceedings of the Seventh International Congress on Sound and Vibration / Giudati, Gianfranco ; Hunt, Hugh ; Heller, Hanno ; Heiss, Alois (ur.).
Garmisch-Partenkirchen: The International Institute of Acoustics and Vibration, 2000. str. 273-280 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 41620 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Active Noise Control with Adaptive IIR Filter Based on Discrete Legendre Functions
Autori
Somek, Branko ; Dadić, Martin ; Maletić, Mladen
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
Proceedings of the Seventh International Congress on Sound and Vibration
/ Giudati, Gianfranco ; Hunt, Hugh ; Heller, Hanno ; Heiss, Alois - Garmisch-Partenkirchen : The International Institute of Acoustics and Vibration, 2000, 273-280
Skup
Seventh International Congress on Sound and Vibration
Mjesto i datum
Garmisch-Partenkirchen, Njemačka, 04.07.2000. - 07.07.2000
Vrsta sudjelovanja
Predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
active noise control; adaptive recursive filters; discrete Legendre functions
Sažetak
There is often problem of acoustical feedback from secondary source to the reference sensor in feedforward active noise control systems. Presence of such a feedback substantially influences on performance of active control, so countermeasures have to be applied, specially when dealing with uniformly distributed random noise signals. Considering feedback as a part of the overall plant, infinite impulse response (IIR) adaptive filters have ability of modeling its transfer function with poles and zeros. Adaptive IIR filters are not unconditionally stable, and their performance surface is generally nonquadratic, so they can converge to a local minimum. Because of its simplicity, filtered-u recursive least mean square (FURLMS) algorithm has been widely applied, although its convergence has never been proved formally, and doubts were raised on its stability. In this paper we propose a filtered-x algorithm for use in active noise control based on Perez-Tsujiis Legendre adaptive filter (LADF) derived from Legendre orthogonal functions. This IIR filter has unimodal performance surface and it is stable. Its structure is simple and modular so it is easy to implement even when large filter order is required. Proposed filter is compared with FURLMS algorithm, and computer simulations were performed.
Izvorni jezik
Engleski
Znanstvena područja
Elektrotehnika
POVEZANOST RADA
Ustanove:
Fakultet elektrotehnike i računarstva, Zagreb
