nkinar
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Hello---
I am reading a paper which presents a method to determine attenuation (and Q factors) from reflection seismic data (Y. Wang, "Q analysis on reflection seismic data," Geophysical Research Letters, Vol. 31, 2004).
To perform signal processing on a seismic trace, the paper describes the following procedure:
(1) From the real and complex parts of the Gabor spectrum transform, compute the (real numbered) amplitude spectrum U(t, \omega) on a seismic trace s(t), where t is the time (s), \omega is the angular frequency (1/s), and \omega = 2 \pi f, where f is the frequency in Hz.
(2) Define \chi = t \omega as the product of t and \omega, and transform the 2D spectrum U(t, \omega) into the 1D spectrum U(t\omega) = U(\chi).
The paper does not describe how to transform U(t, \omega) into U(\chi).
Would numerical integration be able to do this transformation? How might I proceed?
I am reading a paper which presents a method to determine attenuation (and Q factors) from reflection seismic data (Y. Wang, "Q analysis on reflection seismic data," Geophysical Research Letters, Vol. 31, 2004).
To perform signal processing on a seismic trace, the paper describes the following procedure:
(1) From the real and complex parts of the Gabor spectrum transform, compute the (real numbered) amplitude spectrum U(t, \omega) on a seismic trace s(t), where t is the time (s), \omega is the angular frequency (1/s), and \omega = 2 \pi f, where f is the frequency in Hz.
(2) Define \chi = t \omega as the product of t and \omega, and transform the 2D spectrum U(t, \omega) into the 1D spectrum U(t\omega) = U(\chi).
The paper does not describe how to transform U(t, \omega) into U(\chi).
Would numerical integration be able to do this transformation? How might I proceed?