小波分析在信号奇异性探测及瞬态信号检测中的应用  

APPLICATIONS OF WAVELET TRANSFORM IN SINGULARITY DETECTION AND TRANSIENT ANALYSIS

作　　者：向阳[1] 蔡悦斌[1] 杨毓英[1] 史习智[1] 

机构地区：[1]上海交通大学振动冲击噪声国家重点实验室

出　　处：《振动与冲击》1997年第4期23-30,共8页Journal of Vibration and Shock

摘　　要：近年来,小波技术越来越成为一种有效的信号处理手段。本文介绍了小波的时频局部化和多尺度特性以及它在信号奇异性探测、瞬态信号检测领域中的应用。并以ECG信号分析为例,较全面地说明了小波在信号处理中的实现手段。最后,对小波可进一步应用的领域作了展望。Recently, the wavelet transform is becoming a useful and effective method in the field of signal processing. Its characteristics of time-frequency localization and multiresolution are attractive for many engineering problems. The basic principle of wavelet transform and its applications to singularity detection and transient analysis are introduced briefly in the paper. Furthermore , the results of ECG signal processing are shown as an example of wavelet transform's application.

关 键 词：小波变换 ECG信号 瞬态信号 信号处理 信号检测 

分 类 号：TN911.23[电子电信—通信与信息系统] TN911.7[电子电信—信息与通信工程]