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Blind source separation : theory and applications / / Xianchuan Yu, Dan Hu, Jindong Xu
| Blind source separation : theory and applications / / Xianchuan Yu, Dan Hu, Jindong Xu |
| Autore | Yu Xianchuan |
| Pubbl/distr/stampa | Singapore : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (388 p.) |
| Disciplina | 621.382/2 |
| Altri autori (Persone) |
HuDan
XuJindong |
| Soggetto topico | Blind source separation |
| ISBN |
1-118-67987-3
1-118-67985-7 1-118-67986-5 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | PART I. Theory basics of BSS -- Mathematical foundation of blind source separation -- General model and classical algorithm for BSS -- Evaluation criteria for the bss algorithm -- PART II. Independent component analysis -- Independent component analysis -- Fast independent component analysis and its application -- Maximum likelihood independent component analysis and its application -- Overcomplete independent component analysis algorithms and applications -- Kernel independent component analysis -- Non-negative independent component analysis and its application -- Constraint independent component analysis algorithms and applications -- Optimized independent component analysis algorithms and applications -- Supervised learning independent component analysis algorithms and applications -- PART III. Advances and applications of BSS -- Non-negative matrix factorization algorithms and applications -- Sparse component analysis and applications -- Glossary. |
| Record Nr. | UNINA-9910138963903321 |
Yu Xianchuan
|
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| Singapore : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Blind source separation : theory and applications / / Xianchuan Yu, Dan Hu, Jindong Xu
| Blind source separation : theory and applications / / Xianchuan Yu, Dan Hu, Jindong Xu |
| Autore | Yu Xianchuan |
| Pubbl/distr/stampa | Singapore : , : Wiley, , 2014 |
| Descrizione fisica | 1 online resource (388 p.) |
| Disciplina | 621.382/2 |
| Altri autori (Persone) |
HuDan
XuJindong |
| Soggetto topico | Blind source separation |
| ISBN |
1-118-67987-3
1-118-67985-7 1-118-67986-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | PART I. Theory basics of BSS -- Mathematical foundation of blind source separation -- General model and classical algorithm for BSS -- Evaluation criteria for the bss algorithm -- PART II. Independent component analysis -- Independent component analysis -- Fast independent component analysis and its application -- Maximum likelihood independent component analysis and its application -- Overcomplete independent component analysis algorithms and applications -- Kernel independent component analysis -- Non-negative independent component analysis and its application -- Constraint independent component analysis algorithms and applications -- Optimized independent component analysis algorithms and applications -- Supervised learning independent component analysis algorithms and applications -- PART III. Advances and applications of BSS -- Non-negative matrix factorization algorithms and applications -- Sparse component analysis and applications -- Glossary. |
| Record Nr. | UNINA-9910807022403321 |
|
Yu Xianchuan
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| Singapore : , : Wiley, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Independent component analysis and signal separation : 7th international conference, ICA 2007, London, UK, September 9-12, 2007, proceedings / / Mike E. Davies [and three others] (editors)
| Independent component analysis and signal separation : 7th international conference, ICA 2007, London, UK, September 9-12, 2007, proceedings / / Mike E. Davies [and three others] (editors) |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin ; ; Heidelberg : , : Springer, , [2007] |
| Descrizione fisica | 1 online resource (XIX, 847 p.) |
| Disciplina | 621.3822 |
| Collana | Lecture notes in computer science |
| Soggetto topico |
Signal processing - Digital techniques
Blind source separation Neural networks (Computer science) Electronic noise Independent component analysis |
| ISBN | 3-540-74494-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory -- Algorithms -- Sparse Methods -- Speech and Audio Applications -- Biomedical Applications -- Miscellaneous -- Keynote Talk. |
| Record Nr. | UNISA-996466247003316 |
| Berlin ; ; Heidelberg : , : Springer, , [2007] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Source Separation and Machine Learning / / Jen-Tzung Chien
| Source Separation and Machine Learning / / Jen-Tzung Chien |
| Autore | Chien Jen-Tzung |
| Pubbl/distr/stampa | London, England : , : Academic Press, , 2019 |
| Descrizione fisica | 1 online resource (384 pages) : illustrations |
| Disciplina | 621.3822 |
| Soggetto topico | Blind source separation |
| ISBN | 0-12-817796-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910583098603321 |
|
Chien Jen-Tzung
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| London, England : , : Academic Press, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Source Separation in Physical-Chemical Sensing
| Source Separation in Physical-Chemical Sensing |
| Autore | Jutten Christian |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2023 |
| Descrizione fisica | 1 online resource (417 pages) |
| Disciplina | 681.25 |
| Altri autori (Persone) |
DuarteLeonardo Tomazeli
MoussaouiSaid |
| Collana | IEEE Press Series |
| Soggetto topico |
Chemical detectors
Blind source separation |
| ISBN |
1-119-13727-6
1-119-13729-2 1-119-13725-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Table of Contents -- Title Page -- Copyright -- About the Editors -- List of Contributors -- Foreword -- Preface -- Notation -- 1 Overview of Source Separation -- 1.1 Introduction -- 1.2 The Problem of Source Separation -- 1.3 Statistical Methods for Source Separation -- 1.4 Source Separation Problems in Physical-Chemical Sensing -- 1.5 Source Separation Methods for Chemical-Physical Sensing -- 1.6 Organization of the Book -- References -- Notes -- 2 Optimization -- 2.1 Introduction to Optimization Problems -- 2.2 Majorization-Minimization Approaches -- 2.3 Primal‐Dual Methods -- 2.4 Application to NMR Signal Restoration -- 2.5 Conclusion -- References -- Notes -- 3 Non‐negative Matrix Factorization -- 3.1 Introduction -- 3.2 Geometrical Interpretation of NMF and the Non‐negative Rank -- 3.3 Uniqueness and Admissible Solutions of NMF -- 3.4 Non‐negative Matrix Factorization Algorithms -- 3.5 Applications of NMF in Chemical Sensing. Two Examples of Reducing Admissible Solutions -- 3.6 Conclusions -- References -- 4 Bayesian Source Separation -- 4.1 Introduction -- 4.2 Overview of Bayesian Source Separation -- 4.3 Statistical Models for the Separation in the Linear Mixing -- 4.4 Statistical Models and Separation Algorithms for Nonlinear Mixtures -- 4.5 Some Practical Issues on Algorithm Implementation -- 4.6 Applications to Case Studies in Chemical Sensing -- 4.7 Conclusion -- Appendix 4.AImplementation of Function postsourcesrnd via Metropolis-Hasting Algorithm -- References -- Notes -- 5 Geometrical Methods - Illustration with Hyperspectral Unmixing -- 5.1 Introduction -- 5.2 Hyperspectral Sensing -- 5.3 Hyperspectral Mixing Models -- 5.4 Linear HU Problem Formulation -- 5.5 Dictionary‐Based Semiblind HU -- 5.6 Minimum Volume Simplex Estimation -- 5.7 Applications -- 5.8 Conclusions -- References -- Notes.
6 Tensor Decompositions: Principles and Application to Food Sciences -- 6.1 Introduction -- 6.2 Tensor Decompositions -- 6.3 Constraints in Decompositions -- 6.4 Coupled Decompositions -- 6.5 Algorithms -- 6.6 Applications -- References -- Notes -- Index -- End User License Agreement. |
| Record Nr. | UNINA-9910831040803321 |
|
Jutten Christian
|
||
| Newark : , : John Wiley & Sons, Incorporated, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Source Separation in Physical-Chemical Sensing
| Source Separation in Physical-Chemical Sensing |
| Autore | Jutten Christian |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Newark : , : John Wiley & Sons, Incorporated, , 2023 |
| Descrizione fisica | 1 online resource (417 pages) |
| Disciplina | 681.25 |
| Altri autori (Persone) |
DuarteLeonardo Tomazeli
MoussaouiSaïd |
| Collana | IEEE Press Series |
| Soggetto topico |
Chemical detectors
Blind source separation |
| ISBN |
9781119137276
1119137276 9781119137290 1119137292 9781119137252 111913725X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Table of Contents -- Title Page -- Copyright -- About the Editors -- List of Contributors -- Foreword -- Preface -- Notation -- 1 Overview of Source Separation -- 1.1 Introduction -- 1.2 The Problem of Source Separation -- 1.3 Statistical Methods for Source Separation -- 1.4 Source Separation Problems in Physical-Chemical Sensing -- 1.5 Source Separation Methods for Chemical-Physical Sensing -- 1.6 Organization of the Book -- References -- Notes -- 2 Optimization -- 2.1 Introduction to Optimization Problems -- 2.2 Majorization-Minimization Approaches -- 2.3 Primal‐Dual Methods -- 2.4 Application to NMR Signal Restoration -- 2.5 Conclusion -- References -- Notes -- 3 Non‐negative Matrix Factorization -- 3.1 Introduction -- 3.2 Geometrical Interpretation of NMF and the Non‐negative Rank -- 3.3 Uniqueness and Admissible Solutions of NMF -- 3.4 Non‐negative Matrix Factorization Algorithms -- 3.5 Applications of NMF in Chemical Sensing. Two Examples of Reducing Admissible Solutions -- 3.6 Conclusions -- References -- 4 Bayesian Source Separation -- 4.1 Introduction -- 4.2 Overview of Bayesian Source Separation -- 4.3 Statistical Models for the Separation in the Linear Mixing -- 4.4 Statistical Models and Separation Algorithms for Nonlinear Mixtures -- 4.5 Some Practical Issues on Algorithm Implementation -- 4.6 Applications to Case Studies in Chemical Sensing -- 4.7 Conclusion -- Appendix 4.AImplementation of Function postsourcesrnd via Metropolis-Hasting Algorithm -- References -- Notes -- 5 Geometrical Methods - Illustration with Hyperspectral Unmixing -- 5.1 Introduction -- 5.2 Hyperspectral Sensing -- 5.3 Hyperspectral Mixing Models -- 5.4 Linear HU Problem Formulation -- 5.5 Dictionary‐Based Semiblind HU -- 5.6 Minimum Volume Simplex Estimation -- 5.7 Applications -- 5.8 Conclusions -- References -- Notes.
6 Tensor Decompositions: Principles and Application to Food Sciences -- 6.1 Introduction -- 6.2 Tensor Decompositions -- 6.3 Constraints in Decompositions -- 6.4 Coupled Decompositions -- 6.5 Algorithms -- 6.6 Applications -- References -- Notes -- Index -- End User License Agreement. |
| Record Nr. | UNINA-9910877813003321 |
|
Jutten Christian
|
||
| Newark : , : John Wiley & Sons, Incorporated, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
