Title :
Maximum entropy method for estimating seismic wave amplitude
Author :
Addeeb, Abdussalam ; Omar, Abdulmagid ; Slivinsky, Charles
Author_Institution :
Dept. of Electr. & Comput. Eng., Missouri Univ., Columbia, MO, USA
Abstract :
A new concept for reconstructing a class of signals is introduced. The signal under construction is modeled as a product of terms. Different approaches can be used to estimate these terms separately. Seismic signal processing is used as an illustrative example, i.e. a simulated seismic reflected wave is reconstructed in a noisy environment. This wave is modeled as an attenuated and delayed version of a known incident wave. The time delay is estimated using cross correlation, and the maximum-entropy method (MEM) is used to estimate the attenuation factor. It is also reformulated as an efficient MEM image reconstruction algorithm. The efficient MEM algorithm is shown to yield better results than conventional methods
Keywords :
geophysical techniques; seismic waves; seismology; signal processing; MEM image reconstruction algorithm; attenuation factor; cross correlation; estimating seismic wave amplitude; geophysical techniques; maximum-entropy method; noisy environment; product of terms; signal reconstruction; simulated seismic reflected wave; time delay; Amplitude estimation; Delay effects; Delay estimation; Entropy; Image reconstruction; Propagation delay; Seismic waves; Signal processing; Signal processing algorithms; Working environment noise;
Conference_Titel :
Circuits and Systems, 1989., IEEE International Symposium on
Conference_Location :
Portland, OR
DOI :
10.1109/ISCAS.1989.100530
