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Instantaneous spectral analysis: Time-frequency mapping via wavelet matching with application to contaminated-site characterization by 3D GPR

机译:瞬时频谱分析:通过小波匹配进行时频映射,并应用于3D GPR的污染部位表征

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摘要

Spectral decomposition, by which a time series is transformed from the 1D time/amplitude domain to the 2D time/spectrum domain, has become a popular and useful tool in seismic exploration for hydrocarbons. The windowed, or short-time Fourier transform (STFT) was one early approach to computing the time-frequency (t-f) distribution. This method relies on the user selecting a fixed time window, then computing the Fourier spectrum within the time window while sliding the window along the length of the trace. The primary limitation of the STFT is the fixed window which prevents either time localization of high frequency components (if a long window is used) or spectral resolution of the low-frequency components (if a short window is used).
机译:通过频谱分解,时间序列从一维时间/振幅域转换为二维时间/频谱域,已成为烃类地震勘探中一种流行且有用的工具。窗口化或短时傅立叶变换(STFT)是一种计算时频(t-f)分布的早期方法。此方法依赖于用户选择固定的时间窗口,然后在时间窗口内沿着轨迹的长度滑动时,计算时间窗口内的傅立叶频谱。 STFT的主要局限性是固定的窗口,它不能防止高频分量的时间定位(如果使用长窗口)或低频分量的频谱分辨率(如果使用短窗口)。

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