Resolving Spectral Mixtures

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

Автор: Cyril Ruckebusch

Език:

Корици: С твърди корици

Издател: Elsevier Science & Technology

Наличност: Външен склад

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Resolving Spectral Mixtures: With Applications from Ultrafast Time-Resolved Spectroscopy to Superres...

Информация за книгата

Автор

Cyril Ruckebusch

Език

Английски език

Корици

Книга - С твърди корици

Издадена

2016

страници

674

EAN

9780444636386

ISBN

0444636382

Enbook ID

10000346

Издател

Elsevier Science & Technology

Теглоt

1192

Размери

237 x 162 x 37

Пълно описание

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 problemGuides the reader through the fundamentals and details of the different methodsPresents extensive plots, graphical representations, and illustrations to help readers understand the features of different techniques and to interpret resultsBridges the gap between disciplines with contributions from a number of well-known and highly active chemometric and signal processing research groups

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Resolving Spectral Mixtures

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

Информация за книгата

Пълно описание

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