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 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. |
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| Keywords: | chaotic signal denoising sparse representation random
frame dictionary |
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