| 基于奇异性的小波消噪技术 |
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| 引用本文： | 刘伟,龙琼,刘光斌.基于奇异性的小波消噪技术[J].现代雷达,2002,24(6):56-59. |
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| 作者姓名： | 刘伟 龙琼 刘光斌 |
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| 作者单位： | 1. 第二炮兵工程学院,西安,710025
2. 华南理工大学,510640 |
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| 摘 要： | 在论述了小波分析、信号奇异性与小波变换模极大值性质关系的基础上，本文给出了一种基于小波变换模极大值的信号去噪算法。仿真结果表明了该算法的有效性，既能有效的消除噪声，又能较好地保留了原始信号的突变信息。
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| 关 键 词： | 奇异性 小波分析 消噪 模极大值 信号处理 |
| 修稿时间： | 2001年3月24日 |
A Noise Removal Technique with Wavelet Transform Modular Maximum Based Singularity |
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| LIU Wei,LONG Qiong,LIU Guang-bin.A Noise Removal Technique with Wavelet Transform Modular Maximum Based Singularity[J].Modern Radar,2002,24(6):56-59. |
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| Authors: | LIU Wei LONG Qiong LIU Guang-bin |
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| Affiliation: | LIU Wei 1 LONG Qiong 2 LIU Guang-bin 1 (1 The Second Artillerist Engineering College 710025) (2 South China University of Technology 510640) |
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| Abstract: | Based on the wavelet transform and the relation between signal singularity and wavelet transform modular maximum, a noise removal technique is discussed. The simulation results show this method is effective, and it can remove noise from signal effectively and keep abrupt change in signal. |
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| Keywords: | singularity wavelet transform denoise modular maxium |
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