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从噪声中恢复瞬态信号的Gabor级数法 被引量:2

RECOVERY OF TRANSIENT SIGNAL EMBEDDED IN NOISE USING GABOR SERIES
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摘要 该文研究了从噪声中恢复原瞬态信号问题。根据瞬态信号和噪声的Gabor系数在时-频平面上分布不同的特点,借用假设检验理论,提出了一种恢复被噪声污染的原瞬态信号的Gabor级数方法,进行了计算机仿真和对实际信号的处理。 In this paper, the recovery of transient signals embedded in noise is studied. It is noticed that there is different feature between the transient signal's Gabor coefficients and the noise's Gabor coefficients distributed in time-frequency plane, the Gabor series method is presented for recovering transient signals embedded in noise in terms of hypothesis test theory. The computer simulation is implemented for exponential transient signal. This method is also used to process real-life signals.
出处 《电子与信息学报》 EI CSCD 北大核心 2001年第5期425-430,共6页 Journal of Electronics & Information Technology
基金 雷达信号处理国防科技重点实验室基金
关键词 Gabor级数 信号复原 噪声 瞬态信号 信号处理 Time-frequency distribution, Gabor series, Signal recovery, Noise elimination
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参考文献4

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同被引文献17

  • 1李先允,韩笑,张强.奇异性检测理论及其在电力系统中的仿真应用研究[J].南京工程学院学报(自然科学版),2003,1(4):6-12. 被引量:1
  • 2董大群,曾南,李斌.从噪声中提取瞬态信号──自适应权向量法[J].西北工业大学学报,1994,12(3):347-353. 被引量:5
  • 3胡友峰,焦秉立.高阶谱双通道的水声信号检测方法研究[J].声学技术,2005,24(2):65-69. 被引量:8
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  • 6Hinich M J, Wilson G R. Detection of non-gaussian signal in non-gaussian noise using the bispectrum[J]. IEEE Trans. on ASSP,1990,38(7) :1126-1134.
  • 7A Nuttal. Performance of power-law processors with normalization for random signals of unknown structure[R]. NUWC-NPT Technical Report, 10 760, May, 1996.
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  • 9Xing Jun, Liu Zhong, Peng Pengfei. Intelligent detection with dual-channel detecotors for non-gaussian underwater acoustic transient signals[C]//Proceedings of 2008 IEEE International Conference on Information and Automation. Zhangjiajie, 2008,6: 820-825.
  • 10邢军,刘忠.非高斯水声瞬态信号双通道Power-Law检测[J].声学技术,2008,27(1):126-130. 被引量:10

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