Filtering noisy chaotic signal via sparse representation based on random frame dictionary |
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| Authors: | Xie Zong-Bo and FengJiu-Chao |
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| Affiliation: | School of Electronic and Information Engineering, South China University of Technology, Guangzhou 510641, China |
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| Abstract: | ![]()
The denoising problem of impure chaotic signals isaddressed in this paper. A method based on sparse representation isproposed, in which the random frame dictionary is generated by achaotic random search algorithm. The numerical simulation shows theproposed algorithm outperforms those recently reported alternativedenoising methods. |
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| Keywords: | chaotic signal denoising sparse representation randomframe dictionary |
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