Application of the homomorphic Deconvolution


Abstract in English

This research aimed to use the homomorphic deconvolution, applied for processing seismologic and seismic Data, for processing the georadar Data. To reach this aim, some changes in the algorithm of signal determination have been carried out, in order to match the properties of georadar data, I wrote a computer Program, that include several steps, starting from transforming and reading the field data, and ending by performing the inverse filtering. The research shows the importance of the homomorphic deconvolution to improve the resolution of Georadar-Record by raising the frequency content on the field – georadar data. Using various field data measured at various Locations by different Instruments, to test this method of deconvolution. The results shows the efficiency of this method in differentiation the image of georadar-Record, and consequently help the interpretation, which maximize the applicability of the georadar data.

References used

Buttkus, B. (1975). Homomorphic deconvolution – theory and practice, Geophysical prospecting 23,712-748
Hutchinson, M. (2004). Deconvolution basics US/Central, produced by the Connexions Project
Lee, C-H. (2005). Homomorphic Speech Processing School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, ECE6255, Spring, USA

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