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Block filtered-s least mean square algorithm for active control of non-linear noise systems
K. M.Muraleedhara Prabhu
Published in
2010
Volume: 4
   
Issue: 2
Pages: 168 - 180
Abstract
In this study, the authors propose a block formulation of an algorithm, called the block-filtered-s LMS (BFSLMS) algorithm, for active control of non-linear noise processes for a multichannel setup. A reduced structure of the fast Fourier transform (FFT)-based BFSLMS-M (FBFSLMS-M) algorithm has also been studied. From this, the multichannel block filtered-x LMS (FBFXLMS-M) algorithm has been derived as a special case. The simulation results show that these algorithms have a matching performance with the already existing algorithms, with a relatively low computational complexity. A reduced structure delayless FBFSLMS algorithm for the multichannel case has also been developed which has a lesser computational complexity than its time-domain counterpart. Apart from this, it has no delay which, in general, is inherent in the block adaptive algorithms. © The Institution of Engineering and Technology 2009.
About the journal
JournalIET Signal Processing
ISSN17519675
Open AccessNo
Concepts (11)
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    Active control
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    FILTERED-X LMS
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    Least mean square algorithms
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    Low computational complexity
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    MATCHING PERFORMANCE
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    Multichannel
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    NOISE PROCESS
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    NOISE SYSTEMS
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    Adaptive algorithms
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    Fast fourier transforms
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    Computational complexity