| 应用小波变换检测噪声中的信号 |
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| 引用本文： | 王世庆,朱峰,盛克敏.应用小波变换检测噪声中的信号[J].西南交通大学学报,1999,34(4):452-456. |
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| 作者姓名： | 王世庆 朱峰 盛克敏 |
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| 作者单位： | 西南交通大学,电磁场与微波技术研究所,成都,610031 |
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| 摘 要： | 研究了基于小波变换的信号检测问题，提出了多分辨似然比的概述，表明对检测问题存在一些特定的时频空间，在其中信号的大部分能量得到保存，而噪声能量很快减少，因此应用小波变换，通过对特定的时频空间的似然比分析较容易判断噪声是否存在信号。
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| 关 键 词： | 信号特性 噪声检测 信号检测 小波变换 信号处理 |
Application of Wavelet Transform to the Detection of Signals in Noise |
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| Wang Shiqing,Zhu Feng,Sheng Kemin.Application of Wavelet Transform to the Detection of Signals in Noise[J].Journal of Southwest Jiaotong University,1999,34(4):452-456. |
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| Authors: | Wang Shiqing Zhu Feng Sheng Kemin |
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| Abstract: | Signal detection based on wavelet transform is studied, and a concept of multiresolution likelihood ratio is put forward. It is shown that there exist some particular spaces in time domain, in which most of the signal energy is conserved while the noise energy is attenuated sharply. Therefore, based on wavelet transform, and by analyzing the likelihood ratio of the particular spaces in time domain, it can be easily determined that whether or not there are some signals mixed in noise |
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| Keywords: | signal analysis filter likelihood ratio tests wavelet transform |
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