Studies on independent component analysis for watermarking and nonlinear blind source separation

187 p.

Bibliographic Details
Main Author: Nguyen, Viet Thang
Other Authors: Jagdish Chandra Patra
Format: Thesis
Published: 2010
Subjects:
Online Access:https://hdl.handle.net/10356/35735
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author Nguyen, Viet Thang
author2 Jagdish Chandra Patra
author_facet Jagdish Chandra Patra
Nguyen, Viet Thang
author_sort Nguyen, Viet Thang
collection NTU
description 187 p.
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spelling ntu-10356/357352023-03-04T00:37:41Z Studies on independent component analysis for watermarking and nonlinear blind source separation Nguyen, Viet Thang Jagdish Chandra Patra School of Computer Engineering DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing 187 p. Independent Component Analysis (ICA) is one of the important methods in statistics and signal processing that deals with the data representation (transformation) problem. From the observed data, the goal of ICA is to estimate the mixing system and the underlying components that create those observed data. The most interesting thing is that ICA does it 'blindly' without prior knowledge of either the sources or the mixing system. Due to these attractive characteristics, ICA has been applied in many fields of science and engineering, for example, noise reduction, biomedicine, audio systems, telecommunication, and many others. DOCTOR OF PHILOSOPHY (SCE) 2010-04-23T01:31:33Z 2010-04-23T01:31:33Z 2007 2007 Thesis Nguyen, V. T. (2007). Studies on independent component analysis for watermarking and nonlinear blind source separation. Doctoral thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/35735 10.32657/10356/35735 application/pdf
spellingShingle DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
Nguyen, Viet Thang
Studies on independent component analysis for watermarking and nonlinear blind source separation
title Studies on independent component analysis for watermarking and nonlinear blind source separation
title_full Studies on independent component analysis for watermarking and nonlinear blind source separation
title_fullStr Studies on independent component analysis for watermarking and nonlinear blind source separation
title_full_unstemmed Studies on independent component analysis for watermarking and nonlinear blind source separation
title_short Studies on independent component analysis for watermarking and nonlinear blind source separation
title_sort studies on independent component analysis for watermarking and nonlinear blind source separation
topic DRNTU::Engineering::Electrical and electronic engineering::Electronic systems::Signal processing
url https://hdl.handle.net/10356/35735
work_keys_str_mv AT nguyenvietthang studiesonindependentcomponentanalysisforwatermarkingandnonlinearblindsourceseparation