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Proceedings Paper

Multichannel active control of nonlinear noise processes using diagonal structure bilinear FXLMS algorithm
Author(s): Dong Chen; Ding Yuan; Tan Li; Du Sidan
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Paper Abstract

A novel nonlinear adaptive algorithm named as diagonal structure bilinear filtered-x least mean square (DBFXLMS) for multichannel nonlinear active noise control is proposed in this paper. The performances of the proposed algorithm are shown below and the computational complexity is compared with the second-order Volterra filtered-x LMS (VFXLMS) algorithm and the filtered-s least mean square (FSLMS) algorithm, in terms of normalized mean square error (NMSE), for multichannel active control of nonlinear noise processes. Both the simulations and the computational complexity analyses demonstrate that the proposed method has an improvement as compared to the proposed algorithms.

Paper Details

Date Published: 8 December 2015
PDF: 6 pages
Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98751R (8 December 2015); doi: 10.1117/12.2228585
Show Author Affiliations
Dong Chen, Nanjing Univ. (China)
Ding Yuan, Nanjing Univ. (China)
Tan Li, Purdue Univ. (United States)
Du Sidan, Nanjing Univ. (China)


Published in SPIE Proceedings Vol. 9875:
Eighth International Conference on Machine Vision (ICMV 2015)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev, Editor(s)

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