| The Filtering Character of Hilbert-Huang Transform and Its Application |
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| 引用本文： | TAN Shan-wen~,QIN Shu-ren~,TANG Bao-ping~. The Filtering Character of Hilbert-Huang Transform and Its Application[J]. 保鲜与加工, 2004, 0(2): 9-12 |
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| 作者姓名： | TAN Shan-wen~ QIN Shu-ren~ TANG Bao-ping~ |
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| 摘 要： | Hilbert-Huang transform(HHT) is a new two-step time-frequency analytic method to analyze the nonlinear and non-stationary signal. The key step of this method is empirical mode decomposition(EMD) method with which any complicated data set can be decompose into a finite and often small number of intrinsic mode functions(IMF). Using Hilbert transform to those IMF components can yield instantaneous frequency, the final presentation of this results is a energy frequency-time distribution, designated as the Hilbert spectrum. Examples from the numerical results of signal de-noising are given to demonstrate the power of this new method, those results can clarity the advance and efficient of this method.
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| 关 键 词： | Hilbert-Huang transform time-space filter |
The Filtering Character of Hilbert-Huang Transform and Its Application |
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| TAN Shan-wen,QIN Shu-ren,TANG Bao-ping. The Filtering Character of Hilbert-Huang Transform and Its Application[J]. Storage & Process, 2004, 0(2): 9-12 |
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| Authors: | TAN Shan-wen QIN Shu-ren TANG Bao-ping |
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| Affiliation: | TAN Shan-wen~,QIN Shu-ren~,TANG Bao-ping~ |
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| Abstract: | Hilbert-Huang transform(HHT) is a new two-step time-frequency analytic method to analyze the nonlinear and non-stationary signal. The key step of this method is empirical mode decomposition(EMD) method with which any complicated data set can be decompose into a finite and often small number of intrinsic mode functions(IMF). Using Hilbert transform to those IMF components can yield instantaneous frequency, the final presentation of this results is a energy frequency-time distribution, designated as the Hilbert spectrum. Examples from the numerical results of signal de-noising are given to demonstrate the power of this new method, those results can clarity the advance and efficient of this method. |
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| Keywords: | Hilbert-Huang transform time-space filter |
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