Compression techniques for geophysical seismic DATA / George Girgis Nagib Bisada ; Supervised Amir Fouad Surial Atiya , Raafat Elfouly

By:

George Girgis Nagib Bisada

Contributor(s):

Material type: Text

TextLanguage: eng Publication details: Cairo : George Girgis Nagib Bisada , 2009Description: 105P. : charts , facsimiles ; 30cmOther title:

طرق ضغط بيانات الجيوفيزيقية السيزمية [Added title page title]

Subject(s):

Available additional physical forms:

Issued also as CD

Dissertation note: Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering Summary: The objective of this study is efficiently compress geophysical seismic data. Seismic data represents amplitude values responses from the subsurface that can later be represented as an image. This data is obtained by generating sound waves on the surface and picking up the subsrface responses to these waves through geophones or any receivers aligned on the surface

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Home library	Call number	Copy number	Status	Date due	Barcode
Thesis	قاعة الرسائل الجامعية - الدور الاول	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.06.M.Sc.2009.Ge.C (Browse shelf(Opens below))		Not for loan		01010110051905000
CD - Rom	مخـــزن الرســائل الجـــامعية - البدروم	المكتبة المركزبة الجديدة - جامعة القاهرة	Cai01.13.06.M.Sc.2009.Ge.C (Browse shelf(Opens below))	51905.CD	Not for loan		01020110051905000

Browsing المكتبة المركزبة الجديدة - جامعة القاهرة shelves Close shelf browser (Hides shelf browser)

Previous	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	No cover image available	Next
Previous	Cai01.13.06.M.Sc.2009.Fa.R Relaxation-based structure learning of dynamic bayesian Networks /	Cai01.13.06.M.Sc.2009.Fa.R Relaxation-based structure learning of dynamic bayesian Networks /	Cai01.13.06.M.Sc.2009.Ge.C Compression techniques for geophysical seismic DATA /	Cai01.13.06.M.Sc.2009.Ge.C Compression techniques for geophysical seismic DATA /	Cai01.13.06.M.Sc.2009.Gh.A Automated generation and adaptation of test scenarios in a dynanic specifications environment /	Cai01.13.06.M.Sc.2009.Gh.A Automated generation and adaptation of test scenarios in a dynanic specifications environment /	Cai01.13.06.M.Sc.2009.Ha.A An adaptive mSIR uplink scheduling algorithm for WiMAX real-time traffic with packet deadline guarantee and better customer satisfaction /	Next

Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering

The objective of this study is efficiently compress geophysical seismic data. Seismic data represents amplitude values responses from the subsurface that can later be represented as an image. This data is obtained by generating sound waves on the surface and picking up the subsrface responses to these waves through geophones or any receivers aligned on the surface

Issued also as CD

There are no comments on this title.

to post a comment.