Abstract
Certain techniques useful in enhancing the features of two-dimensional correlation and codistribution spectra (2DCOS and 2DCDS) are reviewed. 2DCOS sorts out the coordinated or sequential variations of spectral intensities induced by an external perturbation applied to a sample system. 2DCDS is designed to determine the order of the presence of individual species. Pareto scaling of data helps to regulate overwhelmingly strong signal contributions, which may obscure the fine features of 2DCOS and 2DCDS spectra. Pearson unit-variance scaling has some limitations by itself but is useful in some applications. Modified forms of asynchronous 2D spectrum combine the features of both synchronous and asynchronous spectra and can be used as a stand-alone 2D map for the streamlined determination of the sequential order of spectral intensity variations. Null-space projection simplifies congested 2D spectra by eliminating select features, such as contribution from a specific component. Node attenuation is a band narrowing technique suitable for 2D analysis, because it does not produce opposite-sign side lobes. Performance of each technique in enhancing the features of 2D spectra is demonstrated with a model set of experimental spectra.
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