基于多次广义解调的多分量信号分解方法被引量：1

Multi-component Signal Decomposition Method Based on Repeated Generalized Demodulation

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摘要在广义解调时频分析方法的基础上提出了基于多次广义解调的多分量信号分解方法。对于分量较多的多分量信号,经过一次广义解调后,在小波包时频空间中将某个分量的时频曲线与其他分量的时频曲线分开,然后将该分量分离出来,再循环进行广义解调直到所有分量都分离出来。采用多次广义解调方法对仿真信号进行了分析,并与其他的方法进行比较,结果表明了该方法的有效性。 A multi-component signal decomposition approach using repeated generalized demodulation is proposed based on the generalized demodulation time-frequency analysis method. For the multi-component signals which obtain more components, after the first generalized demodulation, the time-frequency curve of a certain component can be separated from those of the other components in the wavelet packet time-frequency. Then the component can be separated from the original one. The generalized demodulation can be repeated until all the components are separated. The multi-component signal decomposition method based on the repeated generalized demodulation is applied to the simulated signal and compared with other methods. The results demonstrate the effectiveness of the proposed method.

作者程军圣郭莉娟杨宇

机构地区湖南大学汽车车身先进设计制造国家重点实验室

出处《数据采集与处理》 CSCD 北大核心 2011年第5期569-572,共4页 Journal of Data Acquisition and Processing

基金国家自然科学基金(51075131 51175158)资助项目

关键词多次广义解调多分量信号分解 repeated generalized demodulation multi-component signal decomposition

分类号 TP391.4 [自动化与计算机技术—计算机应用技术]

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参考文献8

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