Efficient Utilization of Compression Techniques on Seismic Signals | ||||
| Menoufia Journal of Electronic Engineering Research | ||||
| Article 57, Volume 28, ICEEM2019-Special Issue, 2019, Page 194-200 | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/mjeer.2019.77013 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Mohamed.M. El.Abasy1; Taha E. Taha2; Adel S. El-fishawy3; Moawad. I. Dessoky4; Fathi E. Abd El-Samie2 | ||||
| 1Silicon Expert Tecnology Faculty of Electronic Engineering (FEE), Menoufia University | ||||
| 2Electronics and Electrical Communications Engineering Department Faculty of Electronic Engineering (FEE), Menoufia University | ||||
| 3Electronics and Electrical Communications Engineering Department Faculty of Electronic Engineering | ||||
| 4Electronics and Electrical Communications Engineering Department Faculty of Electronic Engineering (FEE), Menoufia University | ||||
| 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 | ||||
| LPC; Decimation process; Maximum entropy technique; Regularized technique; CS and DTW | ||||
| References | ||||
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