【摘要】 为研究反应谱图的自动匹配和判比技术,并探讨如何提高自动匹配技术的准确性以及可靠性,设计了基于快速傅里叶变换和小波变换的自动特征提取和匹配方法.通过LABVIEW工具分别将2种方法用于地震反应谱图的分析,比较2种方法的优缺点.经过对大量已有样本的分析实验,可以看出基于小波变换理论的自动特征提取及匹配方法较基于快速傅里叶变换的方法有着更高的局部分辨力,可以清晰地获得奇异点特征值,更有利于谱图匹配和比较.通过本研究丰富了自动解谱领域的理论,促进了自动解谱方法的发展,为今后更深入的研究和应用奠定了基础.更多还原

【Abstract】 The way to improve the accuracy and reliability of automatic matching and identification technology on seismic response spectra is studied.Accordingly,two different automatic feature extraction and matching methods based on the fast Fourier transform and wavelet transform are presented.By the tool LABVIEW,such two methods are applied to analyze seismic response spectra;and the features of such two methods are compared.Based on the experiments and analysis of amount of samples,it can be concluded that the automatic matching method based on the wavelet transform theory is better than the other method,for the former has a better local resolution.Therefore,the characteristic values of the singular points are more clearly recognized by the method based on the wavelet transform.Through the above-mentioned study,theories of automatic matching are enriched,so as to set a foundation for further studies in future.更多还原