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Abstract: <br /> <br /> <br /> <br /> <br /> <br /> <br /> Geophysical data with high-level noise may lead to geologically unrealistic information. High-level noise in the data incresases the ambiguity in the modeling of the data. The objective of t...

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Main Author: Siregar (NIM 124 02 020) , Natalina
Format: Final Project
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/6533
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:6533
spelling id-itb.:65332017-10-09T10:31:13Z#TITLE_ALTERNATIVE# Siregar (NIM 124 02 020) , Natalina Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/6533 Abstract: <br /> <br /> <br /> <br /> <br /> <br /> <br /> Geophysical data with high-level noise may lead to geologically unrealistic information. High-level noise in the data incresases the ambiguity in the modeling of the data. The objective of this final project is to study the application of 9-node averaging and median filter to geoelectrical data with pole-pole configuration. Synthetic data contaminated by random noisewith Gaussian distribution, outliers and geological noise were processed by using those filters. Result from processing of synthetic and field data show than median filter is most opprociate for data contaminated by outliers. This kind of noise is frequently present in the geo-electrical data as measurement and instrumental noise. <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 Abstract: <br /> <br /> <br /> <br /> <br /> <br /> <br /> Geophysical data with high-level noise may lead to geologically unrealistic information. High-level noise in the data incresases the ambiguity in the modeling of the data. The objective of this final project is to study the application of 9-node averaging and median filter to geoelectrical data with pole-pole configuration. Synthetic data contaminated by random noisewith Gaussian distribution, outliers and geological noise were processed by using those filters. Result from processing of synthetic and field data show than median filter is most opprociate for data contaminated by outliers. This kind of noise is frequently present in the geo-electrical data as measurement and instrumental noise. <br />
format Final Project
author Siregar (NIM 124 02 020) , Natalina
spellingShingle Siregar (NIM 124 02 020) , Natalina
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author_facet Siregar (NIM 124 02 020) , Natalina
author_sort Siregar (NIM 124 02 020) , Natalina
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/6533
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