Curve fitting to asymmetrical chromatograms by the extended Kalman filter in frequency domain

A. Felinger, Tamás Pap, János Inczédy

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

An algorithm is presented to perform curve fitting on the basis of the Fourier transform of a signal. The curve fitting has been done with the exponentially modified Gaussian model, obtained when convolving a Gaussian distribution and an exponential decay function. The parameter estimation has been carried out by means of the two-dimensional extended Kalman filter. The goodness-of-fit has been characterized by the trace of the covariance matrix of the estimated parameters. The precision of the estimated parameters obtained by fitting either in time or frequency domain is compared.

Original languageEnglish
Pages (from-to)1119-1126
Number of pages8
JournalTalanta
Volume41
Issue number7
DOIs
Publication statusPublished - 1994

Fingerprint

Normal Distribution
Extended Kalman filters
Curve fitting
Fourier Analysis
Gaussian distribution
Covariance matrix
Parameter estimation
Fourier transforms

ASJC Scopus subject areas

  • Analytical Chemistry
  • Spectroscopy

Cite this

Curve fitting to asymmetrical chromatograms by the extended Kalman filter in frequency domain. / Felinger, A.; Pap, Tamás; Inczédy, János.

In: Talanta, Vol. 41, No. 7, 1994, p. 1119-1126.

Research output: Contribution to journalArticle

Felinger, A. ; Pap, Tamás ; Inczédy, János. / Curve fitting to asymmetrical chromatograms by the extended Kalman filter in frequency domain. In: Talanta. 1994 ; Vol. 41, No. 7. pp. 1119-1126.
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