Green's Theorem for Sign Data
Author
Source
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-06-21
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
Sign data are the signs of signal added to noise.
It is well known that a constant signal can be recovered from sign data.
In this paper, we show that an integral over variant signal can be recovered from an integral over sign data based on the variant signal.
We refer to this as a generalized sign data average.
We use this result to derive a Green's theorem for sign data.
Green's theorem is important to various seismic processing methods, including seismic migration.
Results in this paper generalize reported results for 2.5D data volumes in which Green's theorem applies to sign data based only on traditional sign data recovery.
American Psychological Association (APA)
Houston, Louis M.. 2012. Green's Theorem for Sign Data. ISRN Applied Mathematics،Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-479793
Modern Language Association (MLA)
Houston, Louis M.. Green's Theorem for Sign Data. ISRN Applied Mathematics No. 2012 (2012), pp.1-10.
https://search.emarefa.net/detail/BIM-479793
American Medical Association (AMA)
Houston, Louis M.. Green's Theorem for Sign Data. ISRN Applied Mathematics. 2012. Vol. 2012, no. 2012, pp.1-10.
https://search.emarefa.net/detail/BIM-479793
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-479793