| 有色噪声在物理小波变换下功率谱分布研究 |
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| 引用本文： | 郑庆庆,高静怀.有色噪声在物理小波变换下功率谱分布研究[J].武汉科技大学学报(自然科学版),2006,29(1):98-101. |
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| 作者姓名： | 郑庆庆 高静怀 |
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| 作者单位： | 1. 武汉科技大学,湖北,武汉,430081
2. 西安交通大学,陕西,西安,710049 |
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| 摘 要： | 借鉴Christopher Torrence等利用噪声小波功率谱的统计特性检测有效信号的方法，研究有色噪声在匹配地震子波的物理小波（以下简称物理小波）下的功率谱分布规律，Monte Carlo仿真结果表明，该功率谱服从x2^2分布，这是在小波域辩识有效信号和噪声的基础。利用假设检验的统计学方法，可以确定有效信号能量分布空间。
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| 关 键 词： | 有色噪声 物理小波 小波功率谱 |
| 文章编号： | 1672-3090（2006）01-0098-04 |
| 收稿时间： | 2005-02-28 |
| 修稿时间： | 2005-02-28 |
The Mean Power Spectrum Distribution of Colored Noise via Physical Wavelet Transform |
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| ZHENG Qing-qing,GAO Jing-huai.The Mean Power Spectrum Distribution of Colored Noise via Physical Wavelet Transform[J].Journal of Wuhan University of Science and Technology(Natural Science Edition),2006,29(1):98-101. |
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| Authors: | ZHENG Qing-qing GAO Jing-huai |
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| Abstract: | This paper studies the mean power spectrum distribution of colored noise via physical wavelet transform. It is found that the spectrum complies with chi-square distribution, which has been proved by Monte Carlo simulating experiment. This result provides a foundation for distinguishing significant signal from noise in wavelet domain. By using hypothesis and probability testing, the method of determining the space of energy distribution of significant signal is proposed. |
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| Keywords: | colored noise physical wavelet wavelet power spectrum |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
