基于广义解调时频分析的多分量复杂信号分解方法
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武汉科技大学信息科学与工程学院,武汉科技大学冶金自动化与检测技术教育部工程研究中心,武汉科技大学冶金自动化与检测技术教育部工程研究中心

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国家自然科学基金资助项目(编号:60874109 , 61174107)


A Multi-Component and Complicated Signal Decomposition Method Based on the Generalized Demodulation Time-Frequency Analysis
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Engineering Research Center of Metallurgical Automation and Measurement Technology, Ministry of Education, Wuhan University of Science and Technology,Engineering Research Center of Metallurgical Automation and Measurement Technology, Ministry of Education, Wuhan University of Science and Technology,Engineering Research Center of Metallurgical Automation and Measurement Technology, Ministry of Education, Wuhan University of Science and Technology

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    基于广义解调的时频分析方法是一种新的信号处理方法,本文在介绍广义解调时频分析方法的基础上,将该方法应用于多分量时频变化信号的分解,并对该方法进行了改进,给出了由改进的广义解调时频分析方法分解多分量复杂信号的具体步骤。重点对自动获取相位函数的方法以及对分离出来的各单分量再次进行广义时频解调得到理想的时频分布等问题进行了分析。仿真实验结果证明了此法不仅可以得到原始信号中各个分量的时域波形,同时也可以得到各分量的时频分布,为多分量复杂时频变化信号的准确分离提供了有效途径。

    Abstract:

    The generalized demodulation time-frequency analysis approach is a new signal processing method, In this paper,it is introduced and applied to the decomposition of the multi-composition signals whose frequency is time-varying.For the generalized demodulation time-frequency analysis method ,the improvement has been completed and the method by which the multi-component signal can be decomposed is given .The problems of the method of how to get the phase function and how to obtain the ideal time-frequency distribution by the generalized demodulation time-frequency analysis approach used in the single-component signals got from the original signal are analyzed.The simulation experiment results demonstrate that by using this method not only the time domain wave of the single-component signals in the original signal can be obtained but also the same time-frequency distribution can be got, and an effective method is provided for multi-composition signals whose frequency is time-varying.

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张晓菲,刘振兴,陈栋.基于广义解调时频分析的多分量复杂信号分解方法[J].数据采集与处理,2012,27(5):630-

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历史
  • 收稿日期:2011-07-18
  • 最后修改日期:2011-09-05
  • 录用日期:2011-09-13
  • 在线发布日期: 2012-11-05