Blind Source Separation: Advances in Theory, Algorithms and Applications

Author:   Ganesh R. Naik ,  Wenwu Wang
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Edition:   Softcover reprint of the original 1st ed. 2014
ISBN:  

9783662514030


Pages:   551
Publication Date:   20 September 2016
Format:   Paperback
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

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Blind Source Separation: Advances in Theory, Algorithms and Applications


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Author:   Ganesh R. Naik ,  Wenwu Wang
Publisher:   Springer-Verlag Berlin and Heidelberg GmbH & Co. KG
Imprint:   Springer-Verlag Berlin and Heidelberg GmbH & Co. K
Edition:   Softcover reprint of the original 1st ed. 2014
Dimensions:   Width: 15.50cm , Height: 2.90cm , Length: 23.50cm
Weight:   8.424kg
ISBN:  

9783662514030


ISBN 10:   3662514036
Pages:   551
Publication Date:   20 September 2016
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   In Print   Availability explained
This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us.

Table of Contents

Theory.- BSS algorithms using Second order and Higher Order statistics.- Sparse BSS methods.- Convolutive BSS.- Source Localisation.- Under complete BSS.- Over complete BSS.- Semi blind BSS methods.- Source Separation and Identification issues.- Unknown number of source separation using BSS.- Application.- BSS for Image processing applications.- Biomedical application of BSS.- BSS applications of Electromyography (EMG).- BSS applications of Electroencephalography (EEG).- BSS applications of Electrocardiography (ECG).- Artefact removal of biomedical data using BSS.- Source localisation of Audio and Bio signals.- Source separation and identification issued in Audio and Bio signals.- Over complete BSS for Audio and Bio signals.- Under complete BSS for Audio and Bio signals.- BSS for Music separation.- Source separation in retinal and MRI imaging applications.- Semi blind BSS for Audio and Biomedical data.- Analysis of Heart rate analysis using BSS.- Comparison of real word audio and bio signals with synthetic data using BSS.- BSS for financial and economics applications.- BSS for moving source separation.

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