Hardware friendly algorithm for earthquakes discrimination based on wavelet filter bank and support vector machine

Omar M. Saad, Ahmed Shalaby, Inoue Koji, Mohammed S. Sayed

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Discrimination between earthquakes and explosion is one of the main challenges in the field of seismology. In some cases, the explosions recorded as an earthquake or vice verse, which can contaminate the seismic catalog. Rapid discrimination is required to support the real-time seismic application. The discrimination algorithm is based on a wavelet filter bank to extract the discriminative features, and support vector machine (SVM) as a classifier. Therefore; we propose to optimize the hardware implementation of the discrimination algorithm on Field Programmable Gate Array (FPGA). First, we implement the wavelet filter bank using optimized lifting scheme. Then, we utilize the linear classifier to implement the SVM classifier. Finally, we optimize the hardware resources of the discrimination algorithm to be utilized on low-cost FPGA called TE0711 board (Xilinx Artix7). The implemented design is utilized 1.2% and 39.8% of the FPGA's Look Up Table (LUT) and register resources, respectively.

Original languageEnglish
Title of host publication2018 Proceedings of the Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages115-118
Number of pages4
ISBN (Electronic)9781538692301
DOIs
Publication statusPublished - Apr 1 2019
Event2018 Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2018 - Alexandria, Egypt
Duration: Dec 17 2018Dec 19 2018

Publication series

Name2018 Proceedings of the Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2018

Conference

Conference2018 Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2018
CountryEgypt
CityAlexandria
Period12/17/1812/19/18

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All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

Cite this

Saad, O. M., Shalaby, A., Koji, I., & Sayed, M. S. (2019). Hardware friendly algorithm for earthquakes discrimination based on wavelet filter bank and support vector machine. In 2018 Proceedings of the Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2018 (pp. 115-118). [8679531] (2018 Proceedings of the Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2018). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/JEC-ECC.2018.8679531