Data Analysis and Signal Processing in Chromatography

✍ Scribed by Attila Felinger (Eds.)

Publisher: Elsevier
Year: 1998
Tongue: English
Leaves: 215
Series: Data handling in science and technology 21
Edition: 1
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

An overview of the numerical data analysis and signal treatment techniques used in chromatography and related separation techniques, with emphasis on the description of the symmetrical and asymmetrical chromatographic peak shape models. Includes sections on data acquisition, noise, peak detection, and information theory. Contains a thorough overview of the statistics of peak overlap. Both theoretical and empirical models are discussed. Of use not only in chromatography, but in studying spectroscopic and other analytical signals.

✦ Table of Contents

Content:
Preface
Pages xi-xii
Attila Felinger

1 Introduction
Pages 1-3

2 Mathematical background Original Research Article
Pages 5-42

3 Models of chromatography Original Research Article
Pages 43-78

4 Data acquisition Original Research Article
Pages 79-95

5 Peak shape analysis Original Research Article
Pages 97-124

6 Noise Original Research Article
Pages 125-141

7 Signal enhancement Original Research Article
Pages 143-181

8 Peak detection Original Research Article
Pages 183-190

9 Quantitative analysis Original Research Article
Pages 191-209

10 Resolution enhancement Original Research Article
Pages 211-259

11 Multivariate signal resolution Original Research Article
Pages 261-278

12 Transform techniques in chromatography Original Research Article
Pages 279-298

13 Information theory Original Research Article
Pages 299-306

14 Quality assurance and validation Original Research Article
Pages 307-330

15 Statistical theory of peak overlap Original Research Article
Pages 331-383

16 Fourier analysis of multicomponent chromatograms Original Research Article
Pages 385-409

Index
Pages 410-414

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