| An Improved Singularity Computing Algorithm Based on Wavelet Transform Modulus Maxima Method |
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| 作者姓名： | 赵健 谢端 范训礼 |
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| 作者单位： | School of Electronic and Information Northwestern Polytechnical Univ. Xi'an 710072，China，School of Information Science Northwest Univ.，Xi'an 710069，School of Computer Science Xi'an Inst.of Post and Telecommunications Xi'an 710061，School of Electronic and Information，Northwestern Polytechnical Univ. Xi'an 710072，China，School of Information Science Northwest Univ.，Xi'an 710069 |
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| 基金项目： | Foundation item: National Natural Science Foundation of China(No.60372072) |
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| 摘 要： | IntroductionA recent finding is that noise signal may con-tain hidden information.Such information promis-es to be of application value(forecasting suddencardiac death in patients,or analyzing financialmarkets fluctuation,or predicting the properties ofelectric devices).We must use some approachesfor extracting such hidden information from noise.Conventional approaches include analysis ofmeans,standard deviations and other features ofhistograms,along with classical power spectrumanalysis.Thos…
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| 关 键 词： | 噪声信号分析 单一光谱 小波变换 分形 |
| 文章编号： | 1007-1172（2006）03-0317-04 |
| 收稿时间： | 2005-10-12 |
An Improved Singularity Computing Algorithm Based on Wavelet Transform Modulus Maxima Method |
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| ZHAO Jian,XIE Duan,FAN Xun-li.An Improved Singularity Computing Algorithm Based on Wavelet Transform Modulus Maxima Method[J].Journal of Shanghai Jiaotong university,2006,11(3):317-320,327. |
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| Authors: | ZHAO Jian XIE Duan FAN Xun-li |
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| Abstract: | In order to reduce the hidden danger of noise which can be charactered by singularity spectrum, a new algorithm based on wavelet transform modulus maxima method was proposed. Singularity analysis is one of the most promising new approaches for extracting noise hidden information from noisy time series . Because of singularity strength is hard to calculate accurately, a wavelet transform modulus maxima method was used to get singularity spectrum. The singularity spectrum of white noise and aluminium interconnection electromigration noise was calculated and analyzed. The experimental results show that the new algorithm is more accurate than tradition estimating algorithm. The proposed method is feasible and efficient. |
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| Keywords: | noise signal analysis singularity spectrum wavelet transform modulus maxima fractal |
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