期刊文献+

运用小波变换的随机共振处理方法

A Wavelet-based Method of Stochastic Resonance Processing
下载PDF
导出
摘要 针对强噪声背景中的弱信号检测问题,在经典随机共振处理方法的基础上,利用小波良好的去噪特点,提出了小波去噪加随机共振检测弱信号的方法.理论分析和仿真结果表明,该方法优于传统的随机共振处理方法,可获得更大的输出信噪增益. In order to resolve weak signal detection in stronger noise background, on the basis of stochastic resonance processing and wavelet analysis, this paper proposes a modified stochastic resonance processing method. Both its theoretic analysis and simulations are done, and the results show that the performance of the modified method outperforms that of the classical stochastic resonance method.
出处 《空军雷达学院学报》 2005年第2期15-17,共3页 Journal of Air Force Radar Academy
关键词 随机共振 小波 弱信号检测 信噪比 stochastic resonance (SR) wavelet weak signals detection SNR
  • 相关文献

参考文献8

二级参考文献14

  • 1卢志恒,林建恒,胡岗.随机共振问题Fokker-Planck方程的数值研究[J].物理学报,1993,42(10):1556-1566. 被引量:21
  • 2Mallat S G A. Theory for Multiresolution Signal Decomposition:The Wavelet Represention [ J] IEEE Transaction on Pattern Analysis and Machine Intelligence, 1989,11 : 674--693.
  • 3Tuteur T W. Wavelet Transforms in Signal Detection [ A ].Proc. of the Inter. Conf. onWavelet [ C ]. France: Marseille,1987. 132--138.
  • 4Mallat S,Hwang W L. Sing ularity Detection and Processing with Wavelet [ J ]. IEEE Trans on IT, 1992,38 ( 2 ) : 617--643.
  • 5G. P. Harmer, B. R. Davis, D. Abbott, A review of stochastic resonance circuits and measurement, IEEE Transactions On Instrumentation and Measurement, 2002,51(2): 299-309.
  • 6S.Fauve, F.Heslot, Stochastic resonance in a bistable system. Phys Lett A, 1983, 97(1-2): 5-9.
  • 7D.C.Gong, G.Hu. Experimental study of the signalto-noise ratio of stochastic resonance systems, Phys Rev A, 1992, 46(6): 3243-3249.
  • 8A.S.Asdi, A.H.Tewfik. Detection of weak signals using adaptive stochastic resonance. Proceeding of the 1995 IEEE International Conference On Acoustics, Speech,and Signal Processing (ICASSP-95), 1995(2): 1332-1335.
  • 9王冠宇,陶国良,陈行,林建亚.混沌振子在强噪声背景信号检测中的应用[J].仪器仪表学报,1997,18(2):209-212. 被引量:114
  • 10王嘉赋,刘锋,王均义,陈光,王炜.随机共振系统输入阈值的频率特性[J].物理学报,1997,46(12):2305-2312. 被引量:18

共引文献192

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部