Efficient Utilization of Compression Techniques on Seismic Signals

Document Type : Original Article

Authors

1 Silicon Expert Tecnology Faculty of Electronic Engineering (FEE), Menoufia University

2 Electronics and Electrical Communications Engineering Department Faculty of Electronic Engineering (FEE), Menoufia University

3 Electronics and Electrical Communications Engineering Department Faculty of Electronic Engineering

Abstract

This paper presents a framework for compressing seismic signals. These signals move through the layers of the earth as a result of either natural sources such as earthquakes, volcanoes or landslides or by artificial sources like explosions. The compression can be defined as the process of compressing
a signal to reduce its size for easy transmission. The seismic signal is coded by Linear Predictive Coding (LPC) technique. Also, the seismic signal is compressed using two techniques. The first technique depends on decimation process to compress the signal. On the other hand, the signal can be recovered using inverse techniques. The inverse techniques include maximum entropy and regularized. The second technique is called Compressive Sensing (CS) and the seismic signal can be reconstructed using linear programming. The performance of coding and compression techniques is evaluated using Dynamic Time Warping (DTW).

Keywords

References

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Menoufia Journal of Electronic Engineering Research
Volume 28, ICEEM2019-Special Issue
ICEEM2019-Special Issue: 1st International Conference on Electronic Eng., Faculty of Electronic Eng., Menouf, Egypt, 7-8 Dec.
2019
Pages 194-200

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