期刊文献+

基于广义解调和奇异值分解的时频表示增强 被引量:1

Enhancing Time-Frequency Representation Based on Generalized Demodulation and SVD
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摘要 提出了一种基于广义解调和奇异值分解的时频表示增强算法。该算法利用估计的相位函数对信号进行广义解调,通过奇异值分解对得到的解调信号时频谱进行降噪处理,计算降噪后时频谱的逆变换并进行广义逆解调,重新计算时频谱获得信号增强的时频表示。仿真结果表明,该算法与已有算法相比,时频平面的随机噪声几乎被完全抑制,是一种有效的时频表示增强方法。 A time-frequency representation enhancing algorithm is proposed based on generalized demodulation and singular value decomposition (SVD). The signal is generally demodulated with the estimated phase function, and the time-frequency spectrum of the demodulated sig- nal is enhanced with SVD. Then, the inverse time-frequency transform and the inverse demodulation are calculated. Finally, the enhanced time-frequency representation is obtained after the time-frequency spectrum of the noise-reduced is recalculated. Simulation results show that the random noise is almost completely suppressed on the time-frequency plane, and the proposed algorithm is an effective way to enhance the time-frequency representation compared with the other algorithms.
出处 《数据采集与处理》 CSCD 北大核心 2010年第4期419-424,共6页 Journal of Data Acquisition and Processing
基金 国家高技术研究发展计划("八六三"计划)(2006AA09A102)资助项目 国家自然科学基金重点(41070424)资助项目
关键词 广义解调 奇异值分解 时频表示 信号增强 generalized demodulation singular value decomposition (SVD) time-frequency representation signal enhancing
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共引文献13

同被引文献11

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  • 2王黎明,赵英亮,韩焱.高速运动目标测试数据处理精度的方法研究[J].华北工学院学报,2005,26(1):53-57. 被引量:4
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  • 8赵淑红,朱光明.S变换时频滤波去噪方法[J].石油地球物理勘探,2007,42(4):402-406. 被引量:52
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  • 10肖剑,柳斌,郭亚龙,孔伟.基于希尔伯特变换的干涉仪信号处理[J].探测与控制学报,2010,32(1):80-83. 被引量:12

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