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Novel Approach for Single Channel Blind Source Separation : Unsupervised Learning Algorithms and Applications - Bin Gao
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Bin Gao:
Novel Approach for Single Channel Blind Source Separation : Unsupervised Learning Algorithms and Applications - Taschenbuch

2012, ISBN: 3659260002

ID: 22510440973

[EAN: 9783659260001], Neubuch, [PU: LAP Lambert Academic Publishing Okt 2012], This item is printed on demand - Print on Demand Neuware - Single channel blind source separation (SCBSS) is an intensively researched field with numerous important applications. This book proposes a novel method based on variable regularised sparse nonnegative matrix factorization which decomposes an information-bearing matrix into two-dimensional convolution of factor matrices that represent the spectral basis and temporal code of the sources. To further improve the previous work, a new method is developed based on decomposing the mixture into a series of oscillatory components termed as intrinsic mode functions (IMF). It is shown that IMFs have several desirable properties unique to SCBSS and how these properties can be advantaged to relax the constraints posed by the problem. In addition, this book develops a novel method for feature extraction using psycho-acoustic model and a family of Itakura-Saito divergence based novel matrix factorization has been developed. The proposed matrix factorizations have the property of scale invariant which enables lower energy components to be treated with equal importance as the high energy ones. Results show that all the developed algorithms presented in this book outperformed conventional methods 192 pp. Englisch

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Novel Approach for Single Channel Blind Source Separation - Gao, Bin / Woo, Wai Lok
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Gao, Bin / Woo, Wai Lok:
Novel Approach for Single Channel Blind Source Separation - Taschenbuch

ISBN: 3659260002

ID: 22514654135

[EAN: 9783659260001], Neubuch, Publisher/Verlag: LAP Lambert Academic Publishing | Unsupervised Learning Algorithms and Applications | Single channel blind source separation (SCBSS) is an intensively researched field with numerous important applications. This book proposes a novel method based on variable regularised sparse nonnegative matrix factorization which decomposes an information-bearing matrix into two-dimensional convolution of factor matrices that represent the spectral basis and temporal code of the sources. To further improve the previous work, a new method is developed based on decomposing the mixture into a series of oscillatory components termed as intrinsic mode functions (IMF). It is shown that IMFs have several desirable properties unique to SCBSS and how these properties can be advantaged to relax the constraints posed by the problem. In addition, this book develops a novel method for feature extraction using psycho-acoustic model and a family of Itakura-Saito divergence based novel matrix factorization has been developed. The proposed matrix factorizations have the property of scale invariant which enables lower energy components to be treated with equal importance as the high energy ones. Results show that all the developed algorithms presented in this book outperformed conventional methods | Format: Paperback | Language/Sprache: english | 192 pp

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Novel Approach for Single Channel Blind Source Separation - Bin Gao
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Bin Gao:
Novel Approach for Single Channel Blind Source Separation - Taschenbuch

2012, ISBN: 3659260002

ID: 22512164059

[EAN: 9783659260001], Neubuch, [PU: LAP Lambert Academic Publishing Okt 2012], Neuware - Single channel blind source separation (SCBSS) is an intensively researched field with numerous important applications. This book proposes a novel method based on variable regularised sparse nonnegative matrix factorization which decomposes an information-bearing matrix into two-dimensional convolution of factor matrices that represent the spectral basis and temporal code of the sources. To further improve the previous work, a new method is developed based on decomposing the mixture into a series of oscillatory components termed as intrinsic mode functions (IMF). It is shown that IMFs have several desirable properties unique to SCBSS and how these properties can be advantaged to relax the constraints posed by the problem. In addition, this book develops a novel method for feature extraction using psycho-acoustic model and a family of Itakura-Saito divergence based novel matrix factorization has been developed. The proposed matrix factorizations have the property of scale invariant which enables lower energy components to be treated with equal importance as the high energy ones. Results show that all the developed algorithms presented in this book outperformed conventional methods 192 pp. Englisch

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Novel Approach for Single Channel Blind Source Separation als Buch von Bin Gao, Wai Lok Woo - Bin Gao, Wai Lok Woo
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Bin Gao, Wai Lok Woo:
Novel Approach for Single Channel Blind Source Separation als Buch von Bin Gao, Wai Lok Woo - gebunden oder broschiert

ISBN: 9783659260001

ID: 696881238

Novel Approach for Single Channel Blind Source Separation:Unsupervised Learning Algorithms and Applications Bin Gao, Wai Lok Woo Novel Approach for Single Channel Blind Source Separation:Unsupervised Learning Algorithms and Applications Bin Gao, Wai Lok Woo Bücher > Wissenschaft > Technik, LAP Lambert Academic Publishing

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Novel Approach for Single Channel Blind Source Separation ab 68 EURO Unsupervised Learning Algorithms and Applications Novel Approach for Single Channel Blind Source Separation ab 68 EURO Unsupervised Learning Algorithms and Applications Bücher > Wissenschaft > Technik

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Detailangaben zum Buch - Novel Approach for Single Channel Blind Source Separation


EAN (ISBN-13): 9783659260001
ISBN (ISBN-10): 3659260002
Gebundene Ausgabe
Taschenbuch
Erscheinungsjahr: 2012
Herausgeber: LAP LAMBERT Academic Publishing

Buch in der Datenbank seit 22.05.2008 14:24:05
Buch zuletzt gefunden am 30.10.2017 22:21:41
ISBN/EAN: 3659260002

ISBN - alternative Schreibweisen:
3-659-26000-2, 978-3-659-26000-1


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