Multiresolution blind source separation method using sparsity for harmonic retrieval

Rui Li; Fasong Wang

doi:10.1117/12.836683

10 July 2009 Multiresolution blind source separation method using sparsity for harmonic retrieval

Rui Li, Fasong Wang

Proceedings Volume 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering; 749014 (2009) https://doi.org/10.1117/12.836683
Event: International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2009), 2009, Zhangjiajie, China

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.

Citation Download Citation

Rui Li and Fasong Wang "Multiresolution blind source separation method using sparsity for harmonic retrieval", Proc. SPIE 7490, PIAGENG 2009: Intelligent Information, Control, and Communication Technology for Agricultural Engineering, 749014 (10 July 2009); https://doi.org/10.1117/12.836683

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