| 基于小波变换的磁记忆信号去噪方法研究 |
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| 引用本文： | 张起欣,张世富,王鹏飞.基于小波变换的磁记忆信号去噪方法研究[J].石油化工自动化,2007(4):33-35. |
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| 作者姓名： | 张起欣 张世富 王鹏飞 |
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| 作者单位： | 后勤工程学院,军事供油工程系,重庆,400016 |
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| 基金项目： | 后勤工程学院青年科研基金 |
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| 摘 要： | 在利用小波变换对获取的磁记忆检测信号进行去噪处理时，主要有3种方法，基于小波变换的非线性方法能够获得较理想的处理效果。详细介绍了基于该方法的信号处理原理，并重点介绍了影响去噪效果的3项因素。非线性方法在工程实践中取得了良好的效果。
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| 关 键 词： | 小波变换 信号处理 去噪 |
| 文章编号： | 1007-7324（2007）04-0033-03 |
| 修稿时间： | 2006-10-122007-04-20 |
Research on Noise Removing Theories for Metal Magnetic Memory Signal Based on Wavelet Transform |
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| Zhang Qixin,Zhang Shifu,Wang Pengfei.Research on Noise Removing Theories for Metal Magnetic Memory Signal Based on Wavelet Transform[J].Automation in Petro-chemical Industry,2007(4):33-35. |
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| Authors: | Zhang Qixin Zhang Shifu Wang Pengfei |
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| Affiliation: | Dep. of Petroleum Supply Eng. , Logistical Engineering University of PLA, Chongqing, 400016,China |
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| Abstract: | There are three main methods for noise removing processing of metal magnetic memory signal. Among them, the non-linear technique based on wavelet transform can achieve the best effect. The signal processing theory based on the non-linear technique is described in detail. Three factors which effect noise removing result are introduced and the means has achieved the satisfactory effect in project practice. |
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| Keywords: | wavelet transform signal processing noise removing |
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