All the tools chemists need to analyze chemical data and produce more useful information

The statistical and mathematical methods of chemometrics present a wide array of modeling and processing tools for maximizing useful information from experimental data. These methods both reduce time spent in the laboratory and allow researchers to extract more information from data collected. However, understanding the advanced mathematical background of the latest of these approaches, as well as how to apply them, can still be a time-consuming endeavor for the working chemist.

Chemometrics: From Basics to Wavelet Transform provides a one-stop resource for comprehending the range of available chemometric methods, from basic principles to the theory and practice of wavelet transform. Covering the background of chemometrics, common signal processing techniques, and applications in analytical chemistry, this helpful guide also features:

* Simple language and illustrative examples
* Reviews of other methods in comparison to wavelet techniques
* References to print and online resources
* A companion FTP site with MATLAB® code and data sets

Throughout Chemometrics, the emphasis remains on giving practitioners a useful summary of the latest methods and their real-world applications. Right up to the most modern innovations of wavelet transform, Chemometrics combines timeliness with accessibility to offer chemists, biochemists, and advanced students a vital reference volume.

Author Bio:FOO-TIM CHAU, PhD, is a Professor in the Department of Applied Biology and Chemical Technology at Hong Kong Polytechnic University.
YI-ZENG LIANG, PhD, is a Professor in the College of Chemistry and Chemical Engineering at Central South University, China.
Junbin GAO, PhD, is a Professor in the Department of Mathematics at Huazhong University of Science and Technology. He is currently visiting the University of Southhampton.
XUE-GUANG SHAO, PhD, is a Professor at the University of Science and Technology in China.