节点文献

利用小波变换进行高噪声背景下超声检测的研究

Wavelet Analysis of Ultrasonic Echo-signal in High-noise Background

【作者】 刘磊

【导师】 周峻; 曹茂永; 赵永林;

【作者基本信息】 山东科技大学 , 控制理论与控制工程, 2003, 硕士

【摘要】 本文对高噪声背景下超声回波信号的可靠识别问题进行了深入研究,讨论了经典数字处理方法应用于这个问题的不足之处,并在小波分析的几种传统方法的讨论基础上,做了几点改进,以适合所要解决的超声回波信号的可靠识别问题,并进行了程序实现。本文还对小波分析应用于此类问题中存在的问题做了分析,指明了原因所在,并提出了一种不同于小波理论中构造小波的方法,以解决小波分析在这个问题上的不足。

【Abstract】 The paper presents a detailed scheme on the reliable recognition of the ultrasonic echo-signal in high noise background. Based on the scheme, a detailed discussion of the application of the traditional digital processing methods in this field is proposed in this paper. Based on the traditional methods of wavelet analysis, some of novel algorithms are also proposed in the paper and have been programmed using Matlab. This paper also analyzed the problems that lie in the application of wavelet analysis method in the filtering of the signal with narrow spectrum. The causes of this problem are proposed and a new method of constructing the daughter wavelets is given to apply the wavelet analysis in the filtering of the signal with narrow spectrum successfully.

  • 【分类号】TB553
  • 【被引频次】1
  • 【下载频次】311
节点文献中: 

本文链接的文献网络图示:

本文的引文网络