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

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

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

抄録

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.

本文言語英語
ホスト出版物のタイトル2018 Proceedings of the Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2018
出版社Institute of Electrical and Electronics Engineers Inc.
ページ115-118
ページ数4
ISBN(電子版)9781538692301
DOI
出版ステータス出版済み - 4 1 2019
イベント2018 Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2018 - Alexandria, エジプト
継続期間: 12 17 201812 19 2018

出版物シリーズ

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

会議

会議2018 Japan-Africa Conference on Electronics, Communications, and Computations, JAC-ECC 2018
国/地域エジプト
CityAlexandria
Period12/17/1812/19/18

All Science Journal Classification (ASJC) codes

  • 計算理論と計算数学
  • コンピュータ ネットワークおよび通信
  • 電子工学および電気工学

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