| A New Matlab De-noising Algorithm for Signal Extraction |
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| 作者姓名： | ZHANG Fu-ming WU Song-lin |
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| 作者单位： | Institute of Engineering, Air Force Engineering University, Xi＇an 710038, P. R. China |
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| 摘 要： | The goal of a de-noising algorithm is to reconstruct a signal from its noise-corrupted observations. Perfect reconstruction is seldom possible and performance is measured under a given fidelity criterion. In a recent work, the authors addressed a new Matlab algorithm for de-noising. A key method of the algorithm is selecting an optimal basis from a library of wavelet bases for ideal de-noising. The algorithm with an optimal basis from a library of wavelet bases for de-noising was created through making use of Matlab＇s Wavelet Toolbox. The experimental results show that the new algorithm is efficient in signal de-nosing.
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| 关 键 词： | 信号提取 小波变换 降噪算法 MATLAB |
| 收稿时间： | 2006-07-13 |
A New Matlab De-noising Algorithm for Signal Extraction |
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| ZHANG Fu-ming WU Song-lin.A New Matlab De-noising Algorithm for Signal Extraction[J].International Journal of Plant Engineering and Management,2007,12(1):18-23. |
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| Authors: | ZHANG Fu-ming WU Song-lin |
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| Affiliation: | [1]Institute of Engineering, Air Force Engineering University, Xi＇an 710038, P. R. China |
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| Abstract: | The goal of a de-noising algorithm is to reconstruct a signal from its noise-corrupted observations. Perfect reconstruction is seldom possible and performance is measured under a given fidelity criterion. In a recent work, the authors addressed a new Matlab algorithm for de-noising. A key method of the algorithm is selecting an optimal basis from a library of wavelet bases for ideal de-noising. The algorithm with an optimal basis from a library of wavelet bases for de-noising was created through making use of Matlab′s Wavelet Toolbox. The experimental results show that the new algorithm is efficient in signal de-nosing. |
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| Keywords: | wavelet de-noising Matlab |
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