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Proceedings Paper

Multiresolution blind source separation method using sparsity for harmonic retrieval
Author(s): Rui Li; Fasong Wang
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Paper Abstract

The goal of this paper is to give a multiresolution blind source separation(BSS) algorithm using sparsity for harmonic retrieval. After the perspective of BSS is briefly presented, the general and detailed definition of the multiresolution BSS model is given. The multiresolution BSS algorithm for harmonic retrieval by sparsity property using multiscale independent component analysis(ICA) method is constructed in detail. Some simulations of the proposed algorithm are also exhibited. The paper concludes by discussing the impact of multiresolution BSS research and outlining potential future research directions and applications.

Paper Details

Date Published: 11 July 2009
PDF: 8 pages
Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 749014 (11 July 2009); doi: 10.1117/12.836683
Show Author Affiliations
Rui Li, Henan Univ. of Technology (China)
Fasong Wang, China Electronics Technology Group Corp. (China)


Published in SPIE Proceedings Vol. 7490:
PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering
Honghua Tan; Qi Luo, Editor(s)

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