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Item Details
| Title:
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FOURIER, HADAMARD, AND HILBERT TRANSFORMS IN CHEMISTRY
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| By: |
Alan Marshall |
| Format: |
Hardback |
| List price:
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£219.99 |
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We currently do not stock this item, please contact the publisher directly for
further information.
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| ISBN 10: |
0306409046 |
| ISBN 13: |
9780306409042 |
| Publisher: |
SPRINGER SCIENCE+BUSINESS MEDIA |
| Edition: |
1982 ed. |
| Pages: |
562 |
| Description: |
Similar transform techniques are equally valuable (but less well-known) for a wide range of other chemical applications for which commercial instruments are only now becoming available: for example, the first corrmercial Fourier transform mass spectrometer was introduced this year (1981) by Nicolet Instrument Corporation. |
| Synopsis: |
In virtually all types of experiments in which a response is analyzed as a function of frequency (e. g. , a spectrum), transform techniques can significantly improve data acquisition and/or data reduct ion. Research-level nuclear magnet ic resonance and infra-red spectra are already obtained almost exclusively by Fourier transform methods, because Fourier transform NMR and IR spectrometers have been commercially available since the late 1960*s. Similar transform techniques are equally valuable (but less well-known) for a wide range of other chemical applications for which commercial instruments are only now becoming available: for example, the first corrmercial Fourier transform mass spectrometer was introduced this year (1981) by Nicolet Instrument Corporation. The purpose of this volume is to acquaint practicing chemists with the basis, advantages, and applica- of Fourier, Hadamard, and Hilbert transforms in chemistry. For tions almost all chapters, the author is the investigator who was the first to apply such methods in that field. The basis and advantages of transform techniques are described in Chapter 1. Many of these aspects were understood and first applied by infrared astronomers in the 1950*s, in order to improve the otherwise unacceptably poor signal-to-noise ratio of their spec- tra. However, the computations required to reduce the data were painfully slow, and required a 1 arge computer. |
| Illustrations: |
XII, 562 p. |
| Publication: |
US |
| Imprint: |
Kluwer Academic/Plenum Publishers |
| Returns: |
Non-returnable |
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