NDLI: A novel narrowband active noise control system with significantly reduced computational cost

Content Provider	IEEE Xplore Digital Library
Author	Yegui Xiao Liying Ma Jinwei Sun
Copyright Year	2008
Description	Author affiliation: Harbin Inst. of Technol., Harbin (Jinwei Sun) \|\| Prefectural Univ. of Hiroshima, Hiroshima (Yegui Xiao) \|\| Tokyo Polytech. Univ., Atsugi (Liying Ma)
Abstract	In conventional narrowband ANC systems, each reference cosine or sine wave has to be filtered by an estimate of the secondary-path. This filtering element is called x-filtering block. The number of x-filtering blocks is proportional to q where q is the number of targeted frequencies. When q and/or order (Mcirc) of estimated FIR-type secondary-path are not small, the computational cost due to the x-filtering blocks may become a bottleneck in real system implementation. Here, we propose a new narrowband ANC system structure which requires only two (2) x-filtering blocks regardless of q. All the cosine waves (or sine waves) are combined as an input to a x-filtering block. The output of this block is decomposed by an efficient band-pass filter bank into filtered-x cosine or sine waves for the filtered-x LMS (FXLMS) algorithm that follows. This way, the computational cost can be significantly reduced. Extensive simulations reveal that the new system indicates performance similar to that of the conventional system, but enjoys great advantages in system implementation.
Starting Page	240
Ending Page	243
File Size	344841
Page Count	4
File Format	PDF
ISBN	9781424421787
DOI	10.1109/ICOSP.2008.4697115
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-10-26
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Narrowband Active noise reduction Control systems Computational efficiency Band pass filters Filter bank Filtering Frequency Least squares approximation Computational modeling
Content Type	Text
Resource Type	Article

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