Spectral analysis without knowledge of the line shape function by use of a new numerical procedure
A spectral distribution built up of n components is supposed to be asymmetric in respect to its centre of gravity. It is shown that such a structure can be analysed by a new numerical method, which couples a Fourier integral transformation with an iterative least squares procedure. Knowing the numbe...
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Published in | Computer physics communications Vol. 52; no. 2; pp. 187 - 194 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Amsterdam
Elsevier B.V
1989
Elsevier Science |
Subjects | |
Online Access | Get full text |
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Summary: | A spectral distribution built up of
n components is supposed to be asymmetric in respect to its centre of gravity. It is shown that such a structure can be analysed by a new numerical method, which couples a Fourier integral transformation with an iterative least squares procedure. Knowing the number
n of components of the structure, only two a priori assumptions concerning the spectral profile of a single component are made: Axial symmetry in respect to the line centres and equality of the components' shape except for an affine transformation of the ordinate values. Three application examples are presented. |
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ISSN: | 0010-4655 1879-2944 |
DOI: | 10.1016/0010-4655(89)90003-9 |