Wavelet analysis of the baseline noise in HPLC

A. Felinger, Mihály Káré

Research output: Contribution to journalArticle

16 Citations (Scopus)

Abstract

Baseline noise has a significant contribution to the repeatability of chromatographic measurements. In this study, baseline noise is characterized by calculating its power spectrum and wavelet transform using frontal chromatograms. Wavelet analysis is a very powerful means to detect the heteroscedastity or homoscedasticity of the baseline. Usually, it is assumed that noise level is proportional to signal intensity. This is, however, a rather rough estimation. Our calculations show that noise intensity is neither constant nor directly proportional to the signal intensity.

Original languageEnglish
Pages (from-to)225-232
Number of pages8
JournalChemometrics and Intelligent Laboratory Systems
Volume72
Issue number2
DOIs
Publication statusPublished - Jul 28 2004

Fingerprint

Wavelet analysis
High-performance Liquid Chromatography
Wavelet Analysis
Baseline
Power spectrum
Directly proportional
Homoscedasticity
Wavelet transforms
Repeatability
Power Spectrum
Wavelet Transform
Rough

Keywords

  • Baseline noise
  • HPLC
  • Wavelet analysis

ASJC Scopus subject areas

  • Analytical Chemistry
  • Spectroscopy
  • Statistics and Probability

Cite this

Wavelet analysis of the baseline noise in HPLC. / Felinger, A.; Káré, Mihály.

In: Chemometrics and Intelligent Laboratory Systems, Vol. 72, No. 2, 28.07.2004, p. 225-232.

Research output: Contribution to journalArticle

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