Solving inverse problems in applied spectroscopy with random fractal noise

In the framework of the statistical regularization method new algorithms of solving inverse problems in applied spectroscopy in the presence of correlated fractal noises are suggested. Statistical properties of fractal noises are investigated in terms of R/ S-analysis. As an example illustrating the...

Full description

Saved in:
Bibliographic Details
Published inJournal of quantitative spectroscopy & radiative transfer Vol. 67; no. 3; pp. 239 - 252
Main Authors Kharintsev, S.S, Nigmatullin, R.R, Salakhov, M.Kh
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.11.2000
Online AccessGet full text
ISSN0022-4073
1879-1352
DOI10.1016/S0022-4073(99)00230-7

Cover

More Information
Summary:In the framework of the statistical regularization method new algorithms of solving inverse problems in applied spectroscopy in the presence of correlated fractal noises are suggested. Statistical properties of fractal noises are investigated in terms of R/ S-analysis. As an example illustrating the efficiency of the algorithms suggested the smoothing problem of experimental data is considered.
ISSN:0022-4073
1879-1352
DOI:10.1016/S0022-4073(99)00230-7