期刊文献+

小波变换降噪技术及其在Matlab中的实现 被引量:16

Noise Reduction Technology Based on Wavelet Transform and Realization in Matlab
下载PDF
导出
摘要 小波降噪含模极大值、尺度空间滤波、域值滤波三种方法。域值滤波法只对低频部分进一步分解,不考虑高频部分,因而用小波函数进行处理。域值滤波方法的处理过程为:对信号进行小波分解;小波分解高频系数的域值量化;信号重组。对潜艇获得的测量方位信号仿真结果分析表明,该方法可行。 Modular maximum, scale space filtering and domain value filtering are three methods of wavelet noise reduction. Domain value filtering method only decompounded the low frequency, without considering the high frequency, so it can be disposed through wavelet function. The disposing process of domain value filtering method as follows: the wavelet decomposition of signals; the domain value quantification of high frequency coefficient in wavelet decomposition; recombination of signals. The simulation result of the submarine measure orientation proves that this method is reliable.
出处 《兵工自动化》 2006年第2期54-55,共2页 Ordnance Industry Automation
关键词 小波变换 降噪 MATLAB Wavelet transform Noise reduction Matlab
  • 相关文献

参考文献1

二级参考文献8

  • 1王俊,陈逢时,张守宏.一种利用子波变换多尺度分辨特性的信号消噪技术[J].信号处理,1996,12(2):105-109. 被引量:48
  • 2Mallat S, Hwang W L. Singularity detection and processing with wavelets[J]. IEEE Trans on Information Theory, 1992, 38 (2): 617-643.
  • 3Meyer Y. In onoeletteset operateurs[M]. Paris,Herman, 1990.
  • 4Mallat S, Zhong S. Character of signal from multiscale edbes[J].IEEE Trans on Pattern Anal.mach, on Intell. , 1992,14(7):710-732.
  • 5Zheng Yuanjin, Tay David B H, Li Le min. Signal extraction and power spectrum estimation using wavelet transform scale space filtering and bayes shrinkage[J] .Signal Processing, 2000, 80: 1535-1549.
  • 6Donoho D L, Johnstone I M. Adapting to unknown smoothness via wavelet shrinkage[J].J Am. Statis. Assoc. , 1995, 90 (432) :1200 -1244.
  • 7Wang X. 2 -D Bayesian estimation for image filtering,IEEE Trans.,1999,IP-8(7):993-996
  • 8胡战虎.贝叶斯估计和尺度空间滤波相结合的滤波方法[J].系统工程与电子技术,2001,23(4):29-32. 被引量:2

共引文献18

同被引文献76

引证文献16

二级引证文献60

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