Statistical models for digital watermarking

Ph.D

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Bibliographic Details
Main Author:	NG TEK MING
Other Authors:	ELECTRICAL & COMPUTER ENGINEERING
Format:	Theses and Dissertations
Language:	English
Published:	2010
Subjects:	Likelihood ratio, Neyman-Pearson criterion, Generalized Gaussian, Generalized gamma, Laplacian, Invisible watermark
Online Access:	http://scholarbank.nus.edu.sg/handle/10635/12978
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Institution:	National University of Singapore
Language:	English

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record_format	dspace
spelling	sg-nus-scholar.10635-129782017-10-21T09:29:00Z Statistical models for digital watermarking NG TEK MING ELECTRICAL & COMPUTER ENGINEERING GARG, HARI KRISHNA Likelihood ratio, Neyman-Pearson criterion, Generalized Gaussian, Generalized gamma, Laplacian, Invisible watermark Ph.D DOCTOR OF PHILOSOPHY 2010-04-08T10:28:55Z 2010-04-08T10:28:55Z 2007-12-20 Thesis NG TEK MING (2007-12-20). Statistical models for digital watermarking. ScholarBank@NUS Repository. http://scholarbank.nus.edu.sg/handle/10635/12978 NOT_IN_WOS en
institution	National University of Singapore
building	NUS Library
country	Singapore
collection	ScholarBank@NUS
language	English
topic	Likelihood ratio, Neyman-Pearson criterion, Generalized Gaussian, Generalized gamma, Laplacian, Invisible watermark
spellingShingle	Likelihood ratio, Neyman-Pearson criterion, Generalized Gaussian, Generalized gamma, Laplacian, Invisible watermark NG TEK MING Statistical models for digital watermarking
description	Ph.D
author2	ELECTRICAL & COMPUTER ENGINEERING
author_facet	ELECTRICAL & COMPUTER ENGINEERING NG TEK MING
format	Theses and Dissertations
author	NG TEK MING
author_sort	NG TEK MING
title	Statistical models for digital watermarking
title_short	Statistical models for digital watermarking
title_full	Statistical models for digital watermarking
title_fullStr	Statistical models for digital watermarking
title_full_unstemmed	Statistical models for digital watermarking
title_sort	statistical models for digital watermarking
publishDate	2010
url	http://scholarbank.nus.edu.sg/handle/10635/12978
_version_	1681078779192016896

Statistical models for digital watermarking

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