Series: Data Handling in Science and Technology

Data Handling in Science and Technology covers data handling in diverse areas of science and technology, such as chemistry, chemical engineering and environmental science. Both chemometric and non-chemometric data handling techniques are included in the scope of the series. The practical aspects of data handling are emphasized in all of the volumes. For more information about the series or to submit a proposal, please contact the Series Editor or the Acquisitions Editor, Katy Morrissey at
Book Series: Resolving Spectral Mixtures

Most recent volume

Volume 30. Resolving Spectral Mixtures

Published: 8th September 2016 Serial Volume Editor: Cyril Ruckebusch

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.

Additional volumes

Volume 29. Fundamentals and Analytical Applications of Multiway Calibration

Published: 7th August 2015 Series Volume Editors: Alejandro C Olivieri Graciela Escandar Héctor C. Goicoechea Arsenio Muñoz de la Peña

Volume 28. Chemometrics in Food Chemistry

Published: 21st June 2013 Series Volume Editor: Federico Marini

Volume 27. Scientific Data Ranking Methods

Published: 28th November 2008 Series Volume Editors: Manuela Pavan Roberto Todeschini

Volume 26. Practical Data Analysis in Chemistry

Published: 6th July 2007 Authors: Marcel Maeder Yorck-Michael Neuhold

Volume 25. Statistical Design - Chemometrics

Published: 27th January 2006 Authors: Roy Bruns Ieda Scarminio Benicio de Barros Neto

Volume 24. Design and Optimization in Organic Synthesis

Published: 8th April 2005 Authors: Rolf Carlson Johan Carlson

Volume 23. Nature-inspired Methods in Chemometrics: Genetic Algorithms and Artificial Neural Networks

Published: 3rd December 2003 Editor: Riccardo Leardi

Volume 22. Wavelets in Chemistry

Published: 10th May 2000 Editor: Beata Walczak

Volume 21. Data Analysis and Signal Processing in Chromatography

Published: 19th May 1998 Author: A. Felinger

Volume 19. Robustness of Analytical Chemical Methods and Pharmaceutical Technological Products

Published: 11th December 1996 Editors: M.M.W.B. Hendriks J.H. de Boer A.K. Smilde

Volume 18. Signal Treatment and Signal Analysis in NMR

Published: 10th June 1996 Editor: D.N. Rutledge

Volume 17. Data Analysis for Hyphenated Techniques

Published: 14th March 1996 Authors: E.J. Karjalainen U.P. Karjalainen

Volume 16. Multivariate Analysis of Data in Sensory Science

Published: 1st February 1996 Editors: T. Naes E. Risvik

Volume 15. Adaption of Simulated Annealing to Chemical Optimization Problems

Published: 1st August 1995 Editor: J.H. Kalivas

Volume 14. The Data Analysis Handbook

Published: 30th September 1994 Authors: I.E. Frank Roberto Todeschini

Volume 13. Intelligent Software for Chemical Analysis

Published: 3rd September 1993 Editors: L.M.C. Buydens P.J. Schoenmakers

Volume 11. Experimental Design: A Chemometric Approach

Published: 4th June 1993 Authors: S.N. Deming S.L. Morgan

Volume 12. Methods for Experimental Design

Published: 5th May 1993 Author: J.L. Goupy

Volume 10. Sampling of Heterogeneous and Dynamic Material Systems

Published: 23rd October 1992 Author: P.M. Gy

Volume 9. Multivariate Pattern Recognition in Chemometrics

Published: 4th September 1992 Editor: R.G. Brereton

Volume 8. Design and Optimization in Organic Synthesis

Published: 21st November 1991 Author: R. Carlson

Volume 7. Receptor Modeling for Air Quality Management

Published: 3rd June 1991 Editor: P.K. Hopke

Volume 6. Scientific Computing and Automation (Europe) 1990

Published: 17th December 1990 Editor: E.J. Karjalainen

Volume 5. PCs for Chemists

Published: 1st February 1990 Editor: J. Zupan

Volume 4. Advanced Scientific Computing in BASIC with Applications in Chemistry, Biology and Pharmacology

Published: 1st January 1989 Authors: P Valko S. Vajda

Volume 2. Chemometrics

Published: 1st February 1988 Authors: S.N. Deming Y. Michotte D.L. Massart L. Kaufman B.G.M. Vandeginste

Volume 3. Experimental Design

Published: 1st January 1987 Authors: S.N. Deming S.L. Morgan

Volume 1. Microprocessor Programming and Applications for Scientists and Engineers

Published: 1st January 1985 Author: R.R. Smardzewski