| Parametric Bispectrum Estimation and Slice Analysis for Pulse Signals |
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| 作者姓名： | ZHANG Ji-hong CAI Kun-bao LI Yu-han |
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| 作者单位： | 1. College of Electrical Engineering;2. College of Communication Engineering, Chongqing University, Chongqing 400030, China |
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| 摘 要： | Higher-order statistics method is an overhead subject in the fields of signal processing in the world in recent years. The pulse signals are analyzed by applying parametric bispectrum estimation. Non-Gaussian AR model is for calculating the bispectrum of pulse signals for 15 heroin addicts and 15 healthy persons. Characteristic parameters of magnitude bispectrum of the pulse signals are obtained by using horizontal slices of magnitude bispectrum. Characteristic parameters of bispectrum phase of the pulse signals are obtained by using horizontal slices of bispeetrum phase. Moreover,two primary criterions are also obtained by using the characteristic parameters. Exactness ratios of two pnmary criterions reach 93.3% and 90%, respectively. The research result shows that parametric bispectmm estimation for analyzing pulse signals of heroin addicts is really an effective method.
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| 关 键 词： | pulse signal non-Gaussian AR model bispectrum horizontal slices |
| 收稿时间： | 2006/1/15 0:00:00 |
| 修稿时间： | 2006/1/15 0:00:00 |
Parametric Bispectrum Estimation and Slice Analysis for Pulse Signals |
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| ZHANG Ji-hong,CAI Kun-bao,LI Yu-han.Parametric Bispectrum Estimation and Slice Analysis for Pulse Signals[J].Storage & Process,2006(6):47-50-71. |
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| Authors: | ZHANG Ji-hong CAI Kun-bao LI Yu-han |
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| Institution: | 1. College of Electrical Engineering;2. College of Communication Engineering, Chongqing University, Chongqing 400030, China |
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| Abstract: | Higher-order statistics method is an overhead subject in the fields of signal processing in the world in recent years. The pulse signals are analyzed by applying parametric bispectrum estimation. Non-Gaussian AR model is for calculating the bispectrum of pulse signals for 15 heroin addicts and 15 healthy persons. Characteristic parameters of magnitude bispectrum of the pulse signals are obtained by using horizontal slices of magnitude bispectrum. Characteristic parameters of bispectrum phase of the pulse signals are obtained by using horizontal slices of bispeetrum phase. Moreover,two primary criterions are also obtained by using the characteristic parameters. Exactness ratios of two pnmary criterions reach 93.3% and 90%, respectively. The research result shows that parametric bispectmm estimation for analyzing pulse signals of heroin addicts is really an effective method. |
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| Keywords: | pulse signal non-Gaussian AR model bispectrum horizontal slices |
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