Information about the book by Joseph Dubrovkin “Data Compression IN Spectroscopy”, Cambridge Scholars Publishing. 2022, 355 PP. ISBN (10): 1-5275-8620-0 ISBN (13)

Abstract

Widespread use of instrumental methods of analysis, in particular analytical spectroscopy, in recent years has led to increasing volume of information about the objects being studied. Experimental results are stored on a computer in the form of multidimensional digital data arrays that need to be processed in a special way, for example, to remove noise, visualize, analyze, and compress for efficient storage. For these purposes, there are theoretical methods and algorithms of data compression. At the same time compression (decompression) algorithms must ensure minimum distortion of the original signals for processing hyperspectral data. Large volume of data implies a comprehensive analysis of information. When working with multidimensional arrays, it is important to use special methods and technologies for processing, analyzing and interpreting hyperspectral data. This article provides information about the monograph “Data Compression in Spectroscopy” by Joseph Dubrovkin. The book was published by Cambridge Scholars Publishing. The book was written by an expert with extensive experience in the field of multivariate data analysis and chemometrics. The book consists of a preface, information about the structure of the book, a list of abbreviations and symbols, an introduction for each of 4 chapters, 8 appendices, a list of references and a subject index. A large number of examples and exercises are illustrated with MATLAB programs, and bibliographic tables clearly demonstrate the use of compression methods in industrial and research laboratories. The material in the book is discussed chapter by chapter. This modern monograph on data compression in spectroscopy will be useful as a teaching aid for students and teaching staff, as well as for specialists in analytical laboratories.