Seismic Data Compression using Wave Atom Transform

Seismic Data Compression using Wave Atom Transform

Subba Reddy Borra

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G.Jagadeeswar Reddy

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E.Sreenivasa Reddy

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GJCST Volume 15 Issue F1

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The objective of our study was to evaluate, in a population of Togolese People Living With HIV(PLWHIV), the agreement between three scores derived from the general population namely the Framingham score, the Systematic Coronary Risk Evaluation (SCORE), the evaluation of the cardiovascular risk (CVR) according to the World Health Organization.

Seismic data compression (SDC) is crucially, confronted in the oil Industry with large data volumes and Incomplete data measurements. In this research, we present a comprehensive method of exploiting wave packets to perform seismic data compression .Wave atoms are the modern addition to the collection of mathematical transforms for harmonic computational analysis. Wave atoms are variant of 2D wavelet packets that keep an isotropic aspect ratio. Wave atoms have a spiky frequency localization that cannot be attained using a filter bank based on wavelet packets and offer a significantly sparser expansion for oscillatory functions than wavelets ,curvelets and Gabor atoms.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

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Not applicable for this article.

Subba Reddy Borra. 2015. \u201cSeismic Data Compression using Wave Atom Transform\u201d. Global Journal of Computer Science and Technology - F: Graphics & Vision GJCST-F Volume 15 (GJCST Volume 15 Issue F1): .

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GJCST Volume 15 Issue F1
Pg. 35- 41

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

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Classification

I.5.4

Submission ReceivedDecember 6, 2014
RevisedDecember 6, 2014
Peer Review Double Blind
Handling Editor
Accepted January 2, 2015
Published January 15, 2015

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v1.2

Issue date

June 4, 2015

Language

English

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Total Score: 103

Country: India

Subject: Global Journal of Computer Science and Technology - F: Graphics & Vision

Authors: Subba Reddy Borra, G.Jagadeeswar Reddy, E.Sreenivasa Reddy (PhD/Dr. count: 0)

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Total Views: 8257

Total Downloads: 2193

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