| 应用小波的PV振荡周期多分辨率检测 |
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| 引用本文： | 徐占洋,Charles ZHAN,张顺颐.应用小波的PV振荡周期多分辨率检测[J].应用科学学报,2010,28(1):60-64. |
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| 作者姓名： | 徐占洋 Charles ZHAN 张顺颐 |
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| 作者单位： | 1. 南京邮电大学江苏省信息网络研究中心，南京210003
2. 南京信息工程大学计算机与软件学院，南京210044
3. Advanced Process Control Research and Development Group, Honeywell Process Solutions,
Phoenix, AZ 85027, USA |
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| 基金项目： | USA合作研究项目基金，国家"863"高技术研究发展计划基金，江苏省自然科学基金，江苏省高技术研究计划基金，南京信息上程大学校科研基金，南京邮电大学攀登计划基金 |
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| 摘 要： | 该文提出了一种新的使用小波技术检测PV数据信号振荡周期的方法. 首先使用小波技术对PV数据进行降噪；然后在不同分辨率上，应用冗余二进制离散小波变换(DDWT)来分解PV振荡信号，并检测该信号的小波系数极值，重构PV信号，避免降噪后的PV信号失真；最后基于本文提出的新算法，计算获得PV振荡信号的周期.
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| 关 键 词： | PV振荡信号 二进制离散小波变换 小波系数 极值 周期检测 |
| 收稿时间： | 2009-04-21 |
| 修稿时间： | 2009-11-10 |
Multi-resolution Approach to Periodicity Detection Based on Wavelet Transform |
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| XU Zhan-yang,Charles ZHAN,ZHANG Shun-yi.Multi-resolution Approach to Periodicity Detection Based on Wavelet Transform[J].Journal of Applied Sciences,2010,28(1):60-64. |
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| Authors: | XU Zhan-yang Charles ZHAN ZHANG Shun-yi |
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| Institution: | 1. Institute of Information Network Technology, Nanjing University of Posts and Telecommunications,;
Nanjing 210003, China;
2. Department of Computer Sciences, Nanjing University of Information Science and Technology,;
Nanjing 210044, China;
3. Advanced Process Control Research and Development Group, Honeywell Process Solutions, Phoenix,;
AZ 85027, USA |
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| Abstract: | In this paper,we present a novel approach of periodicity detection using wavelet technology. Adaptive wavelet denoising is applied to the PV data.The redundant dyadic discrete wavelet transform is used to decompose the PV oscillation and detect the extreme wavelet coefficients which used to reconstruct the PV signal to avoid signal distortion at different resolution scales.Calculating the indexes based on the post-processing of extreme coefficients,periodicity at the scales selected is worked out,and the PV... |
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| Keywords: | periodicity detection PV oscillation DDWT wavelet coefficient extreme value |
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