摘要
信号的局部奇异性包含了信号的许多重要的信息,小波变换突破了傅立叶分析在时域和频域方面的局部化能力,适合对非平稳信号的处理。在介绍了小波分析的概念及其时频方面性质的基础上,讨论了小波的时频局部化在信号奇异性检测中的理论与方法,该方法非常适用对边缘信号与突变信号的处理和提取,因而在故障诊断中大有可为。
Singualr signal often carries a lot of important information.Unlike Fourier analysis,the wavelet transform has good local property in time and frequency domains,and it be fit to process the nonstationary signal.The concept of wavelet analysis,the good timefrequency localization features of wavelet transform,and theory of detection of signal singularity are introduced in this paper.the wavelet transform technique is adapted to processing the brim signal and the sudden signal so this technique has a good perspective in fault detection and diagnosis.
出处
《重庆师范大学学报（自然科学版）》
CAS
2004年第2期15-17,27,共4页
Journal of Chongqing Normal University:Natural Science
