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Issue 13, 2017
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Discrete wavelet assisted correlation optimised warping of chromatograms: optimizing the computational time for correcting the drifts in peak positions

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Abstract

Correlation optimised warping (COW) has been the most favourite chromatographic peak alignment approach in recent years. After optimization of the two parameters, slack and segment length, COW works well in aligning the chromatograms. However, one of the serious disadvantages of COW is that it is computationally time consuming. Often several segment lengths and slack parameters need to be tested to find the optimum combination for achieving the alignment that makes the whole analysis take several hours. In the present work, it has been shown that with the application of wavelet analysis prior to alignment it is possible to provide the necessary computational economy to the COW algorithm.

Graphical abstract: Discrete wavelet assisted correlation optimised warping of chromatograms: optimizing the computational time for correcting the drifts in peak positions

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Publication details

The article was received on 28 Jan 2017, accepted on 24 Feb 2017, published on 17 Mar 2017 and first published online on 17 Mar 2017


Article type: Paper
DOI: 10.1039/C7AY00268H
Citation: Anal. Methods, 2017,9, 2049-2058
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    Discrete wavelet assisted correlation optimised warping of chromatograms: optimizing the computational time for correcting the drifts in peak positions

    K. Kumar, Anal. Methods, 2017, 9, 2049
    DOI: 10.1039/C7AY00268H

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