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 | ||
Singapore : , : Wiley, , 2014 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
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) |
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. | UNINA-9910483790303321 |
Berlin ; ; Heidelberg : , : Springer, , [2007] | ||
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) |
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 |
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 | ||
London, England : , : Academic Press, , 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
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 |
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-9910877813003321 |
Jutten Christian | ||
Newark : , : John Wiley & Sons, Incorporated, , 2023 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|