Téléchargez le livre : Resolving Spectral Mixtures

Resolving Spectral Mixtures

With Applications from Ultrafast Time-Resolved Spectroscopy to Super-Resolution Imaging

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Éditeur :

Elsevier


Paru le : 2016-08-13



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Description
Resolving Spectral Mixtures: With Applications from Ultrafast Time-Resolved Spectroscopy to Superresolution Imaging offers a comprehensive look into the most important models and frameworks essential to resolving the spectral unmixing problem—from multivariate curve resolution and multi-way analysis to Bayesian positive source separation and nonlinear unmixing. Unravelling total spectral data into the contributions from individual unknown components with limited prior information is a complex problem that has attracted continuous interest for almost four decades. Spectral unmixing is a topic of interest in statistics, chemometrics, signal processing, and image analysis. For decades, researchers from these fields were often unaware of the work in other disciplines due to their different scientific and technical backgrounds and interest in different objects or samples. This led to the development of quite different approaches to solving the same problem. This multi-authored book will bridge the gap between disciplines with contributions from a number of well-known and strongly active chemometric and signal processing research groups. Among chemists, multivariate curve resolution methods are preferred to extract information about the nature, amount, and location in time (process) and space (imaging and microscopy) of chemical constituents in complex samples. In signal processing, assumptions are usually around statistical independence of the extracted components. However, the chapters include the complexity of the spectral data to be unmixed as well as dimensionality and size of the data sets. Advanced spectroscopy is the key thread linking the different chapters. Applications cover a large part of the electromagnetic spectrum. Time-resolution ranges from femtosecond to second in process spectroscopy and spatial resolution covers the submicronic to macroscopic scale in hyperspectral imaging. - Demonstrates how and why data analysis, signal processing, and chemometrics are essential to the spectral unmixing problem - Guides the reader through the fundamentals and details of the different methods - Presents extensive plots, graphical representations, and illustrations to help readers understand the features of different techniques and to interpret results - Bridges the gap between disciplines with contributions from a number of well-known and highly active chemometric and signal processing research groups
Pages
674 pages
Collection
n.c
Parution
2016-08-13
Marque
Elsevier
EAN papier
9780444636386
EAN PDF
9780444636447
Informations sur l'ebook
Nombre pages copiables
67
Nombre pages imprimables
67
Taille du fichier
55091 Ko
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
150,86 €
EAN EPUB SANS DRM
9780444636447
Informations sur l'ebook
Ce livre est accessible aux handicaps Voir les informations sur l'accessibilité
Prix
150,86 €

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