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Seismic signal recorded on seismogram is convolution of source signature with earth layer reflectivity. Estimation of reflectivity accurately very important to increase seismic data resolution in the processing or interpretation. At real condition, data which in recording is nonstationary data influ...

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Main Author: , RONI
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/11326
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:11326
spelling id-itb.:113262009-06-09T14:36:55Z#TITLE_ALTERNATIVE# , RONI Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/11326 Seismic signal recorded on seismogram is convolution of source signature with earth layer reflectivity. Estimation of reflectivity accurately very important to increase seismic data resolution in the processing or interpretation. At real condition, data which in recording is nonstationary data influence by distance and quality factor of rock. To fix that problem, we need a method to estimate of reflectivity(deconvolution method) which is can be handle this condition. Gabor Transform is method of deconvolution to nonstationary data with using Gaussian window as windowing to dekompisition signal and to increase time and frequency resolution. <br /> text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description Seismic signal recorded on seismogram is convolution of source signature with earth layer reflectivity. Estimation of reflectivity accurately very important to increase seismic data resolution in the processing or interpretation. At real condition, data which in recording is nonstationary data influence by distance and quality factor of rock. To fix that problem, we need a method to estimate of reflectivity(deconvolution method) which is can be handle this condition. Gabor Transform is method of deconvolution to nonstationary data with using Gaussian window as windowing to dekompisition signal and to increase time and frequency resolution. <br />
format Final Project
author , RONI
spellingShingle , RONI
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author_facet , RONI
author_sort , RONI
title #TITLE_ALTERNATIVE#
title_short #TITLE_ALTERNATIVE#
title_full #TITLE_ALTERNATIVE#
title_fullStr #TITLE_ALTERNATIVE#
title_full_unstemmed #TITLE_ALTERNATIVE#
title_sort #title_alternative#
url https://digilib.itb.ac.id/gdl/view/11326
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