| Description |
1 online resource. |
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text txt rdacontent |
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computer c rdamedia |
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online resource cr rdacarrier |
| Series |
Data handling in science and technology ; volume 30 |
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Data handling in science and technology ; v. 30.
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| Note |
Includes index. |
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Online resource; title from PDF title page (ScienceDirect, viewed August 24, 2016). |
| Contents |
Front Cover; Resolving Spectral Mixtures: With Applications from Ultrafast Time-Resolved Spectroscopy to Super-Resolution Imaging; Copyright; Contents; Contributors; Preface; Foreword; Chapter 1: Introduction; 1. Introduction; 2. The Spectral Mixture Problem; 3. Book Content and Organization; Chapter 2: Multivariate Curve Resolution-Alternating Least Squares for Spectroscopic Data; 1. MCR: The Concept and the Link with Spectroscopic Data; 2. MCR-ALS: Algorithm and Data Set Configuration; 2.1. MCR-ALS Algorithm: Steps; 2.2. Constraints; 3. MCR-ALS Applied to Process Analysis. |
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3.1. Encoding Process Information: Sequentiality and Physicochemical Models3.1.1. Sequentiality; 3.1.2. Physicochemical Models; 3.2. Multiset Analysis: Multiexperiment Analysis and Data Fusion; 3.2.1. Multiexperiment Analysis; 3.2.2. Multitechnique Analysis (Data Fusion); 4. MCR-ALS Applied to HSI Analysis; 4.1. Encoding Image Information: The Spatial Dimension; 4.2. Image Multiset Analysis; 4.3. MCR Postprocessing; 5. MCR-ALS and Quantitative Analysis; 5.1. Second-order Calibration; 5.2. First-order Calibration: Correlation Constraint; 6. MCR-ALS and Other Bilinear Decomposition Methods. |
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1.1. Permutation Ambiguity1.2. Intensity or Scalar Ambiguity; 1.3. Rotation Ambiguities; 2. Evaluation of MCR Ambiguities; 3. Estimation of the Extension of Rotation Ambiguities and of Their MCR Feasible Solutions; 3.1. Optimization Problem and Method; 3.2. Objective Function to Minimize; 3.3. Variables to Optimize; 4. MCR Constraints and Their Implementation; 4.1. Normalization and/or Closure Constraints; 4.2. Nonnegativity Constraints; 4.3. Selectivity and Local Rank Constraints; 4.4. Unimodality; 4.5. Model or Multilinearity Constraints; 4.6. Hard Modeling. |
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5. Implementation of the MCR-BANDS Method6. Example of Calculation of MCR Feasible Solutions Using the MCR-BANDS Method; 7. Comparison of Solutions Obtained by Different MCR Methods; 8. Comparison of the Ranges of MCR Feasible Solutions Obtained by Different Methods; 9. Conclusions; References; Chapter 5: On the Analysis and Computation of the Area of Feasible Solutions for Two-, Three-, and Four-Component Systems; 1. Introduction; 1.1. Organization of the Chapter; 1.2. Model Data Sets and Experimental Spectral Data; 2. MCR Methods; 2.1. The Singular Value Decomposition. |
| Bibliography |
Includes bibliographical references and index. |
| Subject |
Spectral imaging.
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Spectrum analysis.
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Imagerie spectrale.
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SCIENCE -- Chemistry -- Analytic.
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Spectral imaging
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Spectrum analysis
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| Added Author |
Ruckebusch, Cyril, editor.
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| Other Form: |
Print version : 9780444636386 |
| ISBN |
9780444636447 (electronic bk.) |
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0444636447 (electronic bk.) |
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9780444636386 (print) |
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0444636382 (print) |
| Standard No. |
CHVBK 403945364 |
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CHBIS 010796385 |
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DEBSZ 482472952 |
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GBVCP 879399414 |
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AU@ 000058584553 |
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UKMGB 017992611 |
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