Computer Engineering and Applications ›› 2008, Vol. 44 ›› Issue (5): 232-234.

• 工程与应用 • Previous Articles     Next Articles

Method of wavelet transform in checking aberrant signal of snore

ZHANG Yin-hong,WU Sheng-ju   

  1. College of Physics and Information Technology,Shaanxi Normal University,Xi’an 710062,China
  • Received:2007-08-16 Revised:2007-11-15 Online:2008-02-11 Published:2008-02-11
  • Contact: ZHANG Yin-hong

鼾音信号奇异点检测的小波变换分析方法

张引红,吴胜举   

  1. 陕西师范大学 物理学与信息技术学院,西安 710062
  • 通讯作者: 张引红

Abstract: A new way to signal of snore is discussed in this paper,which using wavelet singularity detection based on MATLAB simulation analysis,and it not only shows the simulation result of analyzing the character of different frequency snoring signal,but also checks signal singularity,and points out its position and Lipschitz index.This fact demonstrates that the method may offer the important message of analyzing singularity signal or diagnose of medical treatment.

Key words: wavelet transformation, snore, signal singularity, wavelet singularity detection, spectrum analysis

摘要: 针对鼾音信号的特点,提出一种利用小波奇性检测原理的方法,以MATLAB 仿真为基础,不但给出分析鼾音信号不同频段特征的仿真结果,又对信号奇异性进行了检测,确定了奇异性的位置和奇异性指标。结果表明,该方法给分析异常鼾音信号或医疗诊断提供了非常有价值的信息。

关键词: 小波变换, 鼾音, 信号奇异, 小波奇性检测, 频谱分析