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基于小波变换的在线多尺度滤波研究及其应用
引用本文:吕青林,李典英,王秋丽,李春,盖蕾,陈景霞.基于小波变换的在线多尺度滤波研究及其应用[J].中国科技信息,2013(7):53-53.
作者姓名:吕青林  李典英  王秋丽  李春  盖蕾  陈景霞
作者单位:1. 国家知识产权局专利局专利审查协作北京中心机械发明审查部,北京,100190
2. 北京联合大学应用科技学院,北京,102200
摘    要:针对传统线性滤波器单尺度去噪的局限性,以及直接对所测数据进行小波滤波带来的时间延迟性,本文介绍一种基于小波变换和移动数据窗口的多尺度在线滤波方法,并将其应用于HeaviSine信号和某炼油厂蒸馏装置减一线的温度数据。分析表明,该种方法不仅能实现很好的去噪效果而且真正做到了实时处理过程数据。

关 键 词:小波变换  在线多尺度滤波  阈值滤波

Study on On-Line Multiscale Filtering via Wavelet and its Application
Lv Qinglin , Li Dianying , Wang Qiuli , Li Chun , Gai Lei , Chen Jingxia.Study on On-Line Multiscale Filtering via Wavelet and its Application[J].CHINA SCIENCE AND TECHNOLOGY INFORMATION,2013(7):53-53.
Authors:Lv Qinglin  Li Dianying  Wang Qiuli  Li Chun  Gai Lei  Chen Jingxia
Institution:1.Patent Examination Cooperation Center of The Paten Office,SIPO,Beijing,China,100029 2.College of Applied Science and Technology,Beijing Union University,BeiJing,102200
Abstract:This paper presents a technique for on--line nonlinear filtering based on wavelet thresholding, which overcomes she limitation of single scale or resolution in time and frequency by linear filtering and the time delay by using non-causal wavelet filters. By applying this technique in HeaviSine signal and actual temperature data, it shows an effective result of denoising and on-line signal processing in this paper.
Keywords:Wavelet transform  On-line multiscale filtering  Wavelet thresholding
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