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Filtering noisy chaotic signal via sparse representation based on random frame dictionary

Filtering noisy chaotic signal via sparse representation based on random frame dictionary
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摘要 The denoising problem of impure chaotic signals is addressed in this paper. A method based on sparse representation is proposed, in which the random frame dictionary is generated by a chaotic random search algorithm. The numerical simulation shows the proposed algorithm outperforms those recently reported alternative denoising methods. The denoising problem of impure chaotic signals is addressed in this paper. A method based on sparse representation is proposed, in which the random frame dictionary is generated by a chaotic random search algorithm. The numerical simulation shows the proposed algorithm outperforms those recently reported alternative denoising methods.
出处 《Chinese Physics B》 SCIE EI CAS CSCD 2010年第5期137-140,共4页 中国物理B(英文版)
基金 Project supported by the National Natural Science Foundation of China (Grant No. 60872123) the Joint Fund of the National Natural Science Foundation and the Guangdong Provincial Natural Science Foundation (Grant No. U0835001) by the Doctorate Foundation of South China University of Technology,China
关键词 chaotic signal DENOISING sparse representation random frame dictionary chaotic signal, denoising, sparse representation, random frame dictionary
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