IMPLEMENTASI GELOMBANG-SINGKAT UNTUK PENGOLAHAN DATA SEISMIK = WAVELET IMPLEMENTATION FOR SEISMIC DATA PROCESSING

Seismic data processing which utilized the currently available hardware and software was also supported by the associated geological and geophysical data at hand. The seismic signal processing was based on some wavelet transform methods which have already shown their merits in reducing the needed co...

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Main Author: Perpustakaan UGM, i-lib
Format: Article
Published: [Yogyakarta] : Universitas Gadjah Mada 2004
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author Perpustakaan UGM, i-lib
author_facet Perpustakaan UGM, i-lib
author_sort Perpustakaan UGM, i-lib
collection UGM
description Seismic data processing which utilized the currently available hardware and software was also supported by the associated geological and geophysical data at hand. The seismic signal processing was based on some wavelet transform methods which have already shown their merits in reducing the needed computation involved. These methods worked on short segment signals and hence the implementation was closer to the "real time demand. Coloured spectrum representations were exploited to ease operator's job for recognition of important information contained in the seismic data, the analysis time was about 0.22 ms. The results show that, even with the presence of inherent instrument noise, vital informations can be obtained. With an extra 0.11 ms time to denoise. Keyword: Seismic data processing, wavelet, onset, spectrum.
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spelling oai:generic.eprints.org:228532014-06-18T00:28:11Z https://repository.ugm.ac.id/22853/ IMPLEMENTASI GELOMBANG-SINGKAT UNTUK PENGOLAHAN DATA SEISMIK = WAVELET IMPLEMENTATION FOR SEISMIC DATA PROCESSING Perpustakaan UGM, i-lib Jurnal i-lib UGM Seismic data processing which utilized the currently available hardware and software was also supported by the associated geological and geophysical data at hand. The seismic signal processing was based on some wavelet transform methods which have already shown their merits in reducing the needed computation involved. These methods worked on short segment signals and hence the implementation was closer to the "real time demand. Coloured spectrum representations were exploited to ease operator's job for recognition of important information contained in the seismic data, the analysis time was about 0.22 ms. The results show that, even with the presence of inherent instrument noise, vital informations can be obtained. With an extra 0.11 ms time to denoise. Keyword: Seismic data processing, wavelet, onset, spectrum. [Yogyakarta] : Universitas Gadjah Mada 2004 Article NonPeerReviewed Perpustakaan UGM, i-lib (2004) IMPLEMENTASI GELOMBANG-SINGKAT UNTUK PENGOLAHAN DATA SEISMIK = WAVELET IMPLEMENTATION FOR SEISMIC DATA PROCESSING. Jurnal i-lib UGM. http://i-lib.ugm.ac.id/jurnal/download.php?dataId=5778
spellingShingle Jurnal i-lib UGM
Perpustakaan UGM, i-lib
IMPLEMENTASI GELOMBANG-SINGKAT UNTUK PENGOLAHAN DATA SEISMIK = WAVELET IMPLEMENTATION FOR SEISMIC DATA PROCESSING
title IMPLEMENTASI GELOMBANG-SINGKAT UNTUK PENGOLAHAN DATA SEISMIK = WAVELET IMPLEMENTATION FOR SEISMIC DATA PROCESSING
title_full IMPLEMENTASI GELOMBANG-SINGKAT UNTUK PENGOLAHAN DATA SEISMIK = WAVELET IMPLEMENTATION FOR SEISMIC DATA PROCESSING
title_fullStr IMPLEMENTASI GELOMBANG-SINGKAT UNTUK PENGOLAHAN DATA SEISMIK = WAVELET IMPLEMENTATION FOR SEISMIC DATA PROCESSING
title_full_unstemmed IMPLEMENTASI GELOMBANG-SINGKAT UNTUK PENGOLAHAN DATA SEISMIK = WAVELET IMPLEMENTATION FOR SEISMIC DATA PROCESSING
title_short IMPLEMENTASI GELOMBANG-SINGKAT UNTUK PENGOLAHAN DATA SEISMIK = WAVELET IMPLEMENTATION FOR SEISMIC DATA PROCESSING
title_sort implementasi gelombang singkat untuk pengolahan data seismik wavelet implementation for seismic data processing
topic Jurnal i-lib UGM
work_keys_str_mv AT perpustakaanugmilib implementasigelombangsingkatuntukpengolahandataseismikwaveletimplementationforseismicdataprocessing