Open AccessFrequency‐domain adaptive algorithm for improving the active noise control performance
Author(s) -
Zecevic Zarko,
Krstajic Bozo,
Radulovic Milovan
Publication year - 2015
Publication title -
iet signal processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.384
H-Index - 42
ISSN - 1751-9683
DOI - 10.1049/iet-spr.2014.0182
Subject(s) - active noise control , computer science , algorithm , frequency domain , noise (video) , adaptive control , speech recognition , domain (mathematical analysis) , control (management) , artificial intelligence , noise reduction , mathematics , computer vision , image (mathematics) , mathematical analysis
A new block adaptive algorithm for active noise control systems is proposed. The proposed approach uses two adaptive filters, where the first one is used for identification of the unknown system. The second one is adapted using the coefficient of the first filter, with the purpose to minimise the output error. To reduce the computational complexity, implementation of new algorithm in the frequency domain is proposed. The analysis of this approach and simulation results show that the new algorithm exhibits faster convergence speed and smaller steady‐state error, as compared with the filtered‐x least mean square and its modifications.