Title :
Why Ricker wavelets are successful in processing seismic data: Towards a theoretical explanation
Author :
Gholamy, Afshin ; Kreinovich, Vladik
Author_Institution :
Comput. Sci. Program, Univ. of Texas at El Paso, El Paso, TX, USA
Abstract :
In many engineering applications ranging from engineering seismology to petroleum engineering and civil engineering, it is important to process seismic data. In processing seismic data, it turns out to be very efficient to describe the signal´s spectrum as a linear combination of Ricker wavelet spectra. In this paper, we provide a possible theoretical explanation for this empirical efficiency. Specifically, signal propagation through several layers is discussed, and it is shown that the Ricker wavelet is the simplest non-trivial solution for the corresponding data processing problem, under the condition that the described properties of the approximation family are satisfied.
Keywords :
seismic waves; signal processing; wavelet transforms; Ricker wavelet spectra; seismic data processing; signal propagation; signal spectrum; Approximation methods; Convolution; Earthquakes; Fourier transforms; Probability density function; Random variables; Seismic waves;
Conference_Titel :
Computational Intelligence for Engineering Solutions (CIES), 2014 IEEE Symposium on
Conference_Location :
Orlando, FL
DOI :
10.1109/CIES.2014.7011824