Q EXTRACTION USING S-TRANSFORM
S-transform provides time-frequency representation from signal. The advantage of this transformation is the ability to increase resolution in time domain by choose appropriate gaussian window. The estimation of interval Q get by comparing ratio frequency amplitude of wavelet on second and first even...
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id-itb.:71052008-07-14T16:34:28ZQ EXTRACTION USING S-TRANSFORM ZAIN AMIRUDDIN (NIM 12403018), AHMAD Indonesia Final Project INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/7105 S-transform provides time-frequency representation from signal. The advantage of this transformation is the ability to increase resolution in time domain by choose appropriate gaussian window. The estimation of interval Q get by comparing ratio frequency amplitude of wavelet on second and first event. This method called spectral ratio. The objective of this study is confirmation of extraction Q interval. So, at first, seismic traces synthetic that has interval Q value is needed. To build those traces is used attenuation operator that called Q impulse response. By using spectral ratio method Q value can extraction. Then, these results compared to input interval Q model. For thick layer case Q interval are stabile. For thin layer case Q interval can be still estimated and depended on width of gaussian window. text |
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Institut Teknologi Bandung |
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Indonesia Indonesia |
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Institut Teknologi Bandung |
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Indonesia |
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S-transform provides time-frequency representation from signal. The advantage of this transformation is the ability to increase resolution in time domain by choose appropriate gaussian window. The estimation of interval Q get by comparing ratio frequency amplitude of wavelet on second and first event. This method called spectral ratio. The objective of this study is confirmation of extraction Q interval. So, at first, seismic traces synthetic that has interval Q value is needed. To build those traces is used attenuation operator that called Q impulse response. By using spectral ratio method Q value can extraction. Then, these results compared to input interval Q model. For thick layer case Q interval are stabile. For thin layer case Q interval can be still estimated and depended on width of gaussian window. |
format |
Final Project |
author |
ZAIN AMIRUDDIN (NIM 12403018), AHMAD |
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ZAIN AMIRUDDIN (NIM 12403018), AHMAD Q EXTRACTION USING S-TRANSFORM |
author_facet |
ZAIN AMIRUDDIN (NIM 12403018), AHMAD |
author_sort |
ZAIN AMIRUDDIN (NIM 12403018), AHMAD |
title |
Q EXTRACTION USING S-TRANSFORM |
title_short |
Q EXTRACTION USING S-TRANSFORM |
title_full |
Q EXTRACTION USING S-TRANSFORM |
title_fullStr |
Q EXTRACTION USING S-TRANSFORM |
title_full_unstemmed |
Q EXTRACTION USING S-TRANSFORM |
title_sort |
q extraction using s-transform |
url |
https://digilib.itb.ac.id/gdl/view/7105 |
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