MULTI-LEVEL SAMPLING APPROACH FOR CONTINOUS LOSS DETECTION USING ITERATIVE WINDOW AND STATISTICAL MODEL

MULTI-LEVEL SAMPLING APPROACH FOR CONTINOUS LOSS DETECTION USING ITERATIVE WINDOW AND STATISTICAL MODEL

This paper proposes a Multi-Level Sampling (MLS) approach for continuous Loss of Self-Similarity (LoSS) detection using iterative window. The method defines LoSS based on Second Order Self-Similarity (SOSS) statistical model. The Optimization Method (OM) is used to estimate self-similarity parameter...

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Bibliographic Details
Main Authors: Mohd Fo'ad Rohani, Mohd Aizaini Maarof, Ali Selamat, Houssain Kettani
Format: Article
Language:English
Published: IIUM Press, International Islamic University Malaysia 2010-11-01
Series:International Islamic University Malaysia Engineering Journal
Online Access:http://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/29

Internet

http://journals.iium.edu.my/ejournal/index.php/iiumej/article/view/29

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