This paper employs an improved continuous wavelet transform (CWT) technique of Gaussian derivative function and impulse response filtering (IRF) in seismic surface wave analysis to improve data analysis in the Spectral Analysis of Surface Wave (SASW) method. Two procedures were used: first, the response spectrum of interest was chosen using a time–frequency wavelet spectrogram. Then, noisy distortions were eliminated by utilizing a time–frequency wavelet and impulse response filtering. The outcomes show that the SASW method is able to identify the surface wave velocity which coincides with the dynamic stiffness parameters of Portland Cement Concrete (PCC) slabs. The values of surface wave velocity increased during the curing stage, and in situ measurement of wave velocity could be helpful in determining the degree of curing. A good congruence has been demonstrated between the stiffness of PCC obtained from SASW measurements vis a vis that obtained using the American Concrete Institute (ACI) formulation.

本文在地震面波分析中采用了改进的高斯导数连续小波变换（CWT）技术和脉冲响应滤波（IRF）技术，以改进表面波谱分析（SASW）方法中的数据分析。使用了两种程序：首先，使用时频小波谱图选择感兴趣的响应谱。然后，利用时频小波和脉冲响应滤波消除了噪声失真。结果表明，SASW方法能够识别出与波特兰水泥混凝土板的动态刚度参数一致的表面波速度。表面波速度的值在固化阶段增加，并且波速的原位测量可能有助于确定固化程度。