Generalized two-dimensional correlation analysis for unimodal waveforms modeled by quadratic polynomials

Research output: Contribution to journalComment/debate

5 Citations (Scopus)

Abstract

We describe further potential of generalized 2D correlation analysis, aiming to realize the automation of the sequential order determination of signal variations. By modeling unimodal waveforms using quadratic functions, we can analytically express 2D correlation functions to yield an index to determine the sequential order. Based on the obtained results, we find an exception for determining the sequential order of signal variations. To resolve the exception, we suggest an extended way of interpreting the sequential order of signal intensity changes.

Original languageEnglish
Pages (from-to)845-847
Number of pages3
Journalanalytical sciences
Volume34
Issue number7
DOIs
Publication statusPublished - 2018 Jan 1

Keywords

  • Correlation
  • Hilbert transform
  • Quadratic polynomial
  • Sequential order
  • Spectroscopy

ASJC Scopus subject areas

  • Analytical Chemistry

Fingerprint Dive into the research topics of 'Generalized two-dimensional correlation analysis for unimodal waveforms modeled by quadratic polynomials'. Together they form a unique fingerprint.

  • Cite this