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New York: Academic Press, 1981, - 150 pp. This monograph deals with a rather universal concern—that of signal recovery. Signal recovery is a broad problem that spans numerous disciplines, and as a result there exists a rather rich general literature on the subject. A major problem results from the equally rich sets of technical terminology used in the literature. Herein the reader will find a specialized aspect of signal recovery, namely deconvolution, discussed in the language of a physical scientist who, by accident or intent, has been crossbred with a sprinkling or more of the geophysicist, computer scientist, electrical engineer, and statistician. We have attempted to produce an entry-level monograph for physical scientists which will enable them to begin tentative use of deconvolution methods in their work.
Preface. Introduction. Physical measurement systems: overview. Physical measurement systems: an application. Signal space and frequency space. Deconvolution in signal space. Applying the Jansson algorithm. Deconvolution examples. Tests and examples of deconvolution. Noise. Complete case history of a deconvolved data run. Deconvolution and intensities. Advice. Assessment and evaluation. Appendix: using the program DECO. Using the test program LONGO. References. Bibliography. Index.
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DECONVOLUTION OF ABSORPTION SPECTRA William E. Blass George W. Halsey Department of Physics and Astronomy The University of Tennessee Knoxville, Tennessee
1981
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Library of Congress Cataloging in Publication Data Blass, W. E. (William E.) Deconvolution of absorption spectra. Bibliography: p. Includes index. 1. Absorption spectra—Deconvolution. I. Halsey, G. W. (George W.) II. Title. QC454.A2B57 535.8'4 81-12667 ISBN 0-12-104650-8 AACR2
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PREFACE
This monograph deals with a rather universal concern—that of signal recovery. Signal recovery is a broad problem that spans numerous disciplines, and as a result there exists a rather rich general literature on the subject. A major problem results from the equally rich sets of technical terminology used in the literature. Herein the reader will find a specialized aspect of signal recovery, namely deconvolution, discussed in the language of a physical scientist who, by accident or intent, has been crossbred with a sprinkling or more of the geophysicist, computer scientist, electrical engineer, and statistician. Some readers will find the early chapters overly simplistic; we hope that they will find the later chapters on methods and results more stimulating. Other readers will find the early chapters quite demanding, and we hope that their background in the physical sciences will aid their entry into and advancement along the pathways of systems and signals. To the extent that it is possible, we have attempted to produce an entry-level monograph for physical scientists which will enable them to begin tentative use of deconvolution methods in their