| 基于复解析小波变换的信号包络检测 |
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| 引用本文： | 侯铁双.基于复解析小波变换的信号包络检测[J].西安邮电学院学报,2011,16(3):18-21. |
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| 作者姓名： | 侯铁双 |
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| 作者单位： | 西安邮电学院自动化学院,陕西西安,710121 |
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| 摘 要： | 水声信号中的低频线谱成分是目标声信号的一个重要特征量,在水声信号检测、识别和分类中起着重要的作用。为了提取水声信号中的线谱成分,本文利用复解析小波变换兼具带通滤波和包络提取的特性提取信号包络。仿真和实测数据分析表明,与传统的Hilbert变换提取信号包络算法相比较,基于复解析小波变换的信号包络提取算法可以完全抑制所分析通带以外的噪声,从而提高了信号包络的信噪比。
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| 关 键 词： | 信号包络 复解析小波变换 信号检测 Hilbert变换 |
Detection of signal envelope based on the complex analytical wavelet transform |
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| HOU Tie-shuang.Detection of signal envelope based on the complex analytical wavelet transform[J].Journal of Xi'an Institute of Posts and Telecommunications,2011,16(3):18-21. |
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| Authors: | HOU Tie-shuang |
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| Affiliation: | HOU Tie-shuang(School of Automation,Xi'an University of Posts and Telecommunications,Xi'an 710121,China) |
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| Abstract: | The low frequency line spectrum of the underwater acoustic signal is an important characteristic quantity which plays an important role in the signal detection,recognition and classification.To extract the envelope of the underwater acoustic signal,the new approach of envelope extraction based on the complex wavelet transform is proposed because it has the characteristic of bandpass filtering and envelope extraction.The analysis of the simulation signal and the target signal analysis results showed that the... |
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| Keywords: | envelope complex analytical wavelet transform signal detection Hilbert transform |
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