Source separation in physical-chemical sensing / edited by Christian Jutten, Leonardo Tomazeli Duarte, Saïd Moussaoui.

Format:

Book

Author/Creator:

CHRISTIAN JUTTEN

Contributor:

Jutten, Christian, 1954- editor.

Duarte, Leonardo Tomazeli, editor.

Moussaoui, Saïd, editor.

Wiley InterScience (Online service)

Language:

English

Subjects (All):

Chemical detectors.

Blind source separation.

Physical Description:

1 online resource (xxiv, 328 pages) : illustrations (some color)

Place of Publication:

Hoboken, NJ : John Wiley & Sons, Inc., 2024.

Contents:

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

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

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

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

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

Index

End User License Agreement

Notes:

Includes bibliographical references and index.

Electronic reproduction. Hoboken, N.J. Available via World Wide Web.

Description based on online resource; title from digital title page (viewed on December 12, 2023).

Other Format:

Print version: Source separation in physical-chemical sensing

ISBN:

9781119137276

1119137276

9781119137290

1119137292

9781119137252

111913725X

Publisher Number:

99996028401

Access Restriction:

Restricted for use by site license.