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Experiences of a Multidisciplinary Course on Geo-Signal Processing From a DSP Perspective Offered in Electrical Engineering at King Fahd University of Petroleum and Minerals

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PROJECT TITLE :

Experiences of a Multidisciplinary Course on Geo-Signal Processing From a DSP Perspective Offered in Electrical Engineering at King Fahd University of Petroleum and Minerals

ABSTRACT :

The aim of this paper is to share the expertise gained in, and the efforts created toward, introducing and implementing a replacement course within the difficult and necessary space of geophysical signal processing at the electrical Engineering (EE) Department, King Fahd University of Petroleum and Minerals (KFUPM), Dhahran, Saudi Arabia. The new course, titled “Geo-Signal Processing,” was offered each at the graduate level and as a special topics course to undergraduates. The course was developed in collaboration with the planet Sciences Department at KFUPM. This paper contributes new info as a result of it stresses the multidisciplinary aspects of digital signal processing (DSP) technologies when applied to estimating the earth's layered structure on the basis of seismic data. Unlike several Earth sciences seismic knowledge processing courses, this Geo-Signal Processing course conjointly emphasizes that the angle taken by those operating in DSP is completely different from that taken by geophysicists. The course presents DSP with particular emphasis on seismic data signals and therefore the artifacts accompanying them while covering the principles and algorithms needed for processing seismic signals in each deterministic and statistical fashion. Topics include, but don't seem to be limited to, basic seismic theory, acquisition of seismic information, analysis of seismic signals and noise, deterministic filtering of seismic data, and statistical processing of seismic information.


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Experiences of a Multidisciplinary Course on Geo-Signal Processing From a DSP Perspective Offered in Electrical Engineering at King Fahd University of Petroleum and Minerals - 4.7 out of 5 based on 68 votes

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