| Status | 已發表Published |
| Adaptive Fourier Transform Based Signal Denoising | |
Zhang, L.  ; Li, H.; Qian, T.
| |
| 2011-07-01 | |
| Source Publication | Proceedings of World Academy of Science, Engineering and Technology on Scientific Research and Experiment Development
 |
| Abstract | In our previous work, adaptively choosing the parameters of a Takenaka-Malmquist system according to the given function to be decomposed gives rise to the so called adaptive Fourier decomposition (AFD). In this paper, we propose to use AFD to eliminate the noise. The proposed method results in a small number of mono-components to reconstruct the denoised signal. Effectiveness of the algorithm is evaluated by the comparison experiments with the classical Fourier series algorithm. The results are promising. |
| Keyword | Adaptive Fourier decomposition denoising Fourier series signal processing. |
| Language | 英語English |
| The Source to Article | PB_Publication |
| PUB ID | 7084 |
| Document Type | Conference paper |
| Collection | DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE |
| Corresponding Author | Zhang, L. |
| Recommended Citation GB/T 7714 | Zhang, L.,Li, H.,Qian, T.. Adaptive Fourier Transform Based Signal Denoising[C], 2011. |
| APA | Zhang, L.., Li, H.., & Qian, T. (2011). Adaptive Fourier Transform Based Signal Denoising. Proceedings of World Academy of Science, Engineering and Technology on Scientific Research and Experiment Development. |
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