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

$15.99

Resolving Spectral Mixtures With Applications from Ultrafast Time-Resolved Spectroscopy to Super-Resolution Imaging
Authors: Cyril Ruckebusch (Eds.)
Year: 2016
Publisher: Elsevier
Language: English
ISBN 13: 9780444636447
ISBN 10: 444636447
Categories: Computers, Applications and Software
Pages: 320 / 319
Edition: 1

Availability: 5000 in stock

SKU: 9780444636447 Categories: ,

Resolving Spectral Mixtures With Applications from Ultrafast Time-Resolved Spectroscopy to Super-Resolution Imaging Cyril Ruckebusch (Eds.)
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 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 Categories:
Computers – Applications & Software
Year:
2016
Edition:
1
Publisher:
Elsevier
Language:
english
Pages:
674 / 649
ISBN 10:
0444636447
ISBN 13:
9780444636447
Series:
Data Handling in Science and Technology 30
File:
540 MB

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Resolving Spectral Mixtures With Applications from Ultrafast Time-Resolved Spectroscopy to Super-Resolution Imaging
$15.99

Availability: 5000 in stock