Multichannel active control of nonlinear noise processes using diagonal structure bilinear FXLMS algorithm

Dong Chen; Ding Yuan; Tan Li; Du Sidan

doi:10.1117/12.2228585

8 December 2015 Multichannel active control of nonlinear noise processes using diagonal structure bilinear FXLMS algorithm

Dong Chen, Ding Yuan, Tan Li, Du Sidan

Author Affiliations +

Proceedings Volume 9875, Eighth International Conference on Machine Vision (ICMV 2015); 98751R (2015) https://doi.org/10.1117/12.2228585
Event: Eighth International Conference on Machine Vision, 2015, Barcelona, Spain

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.

Citation Download Citation

Dong Chen, Ding Yuan, Tan Li, and Du Sidan "Multichannel active control of nonlinear noise processes using diagonal structure bilinear FXLMS algorithm", Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98751R (8 December 2015); https://doi.org/10.1117/12.2228585

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