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trilinear-model

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LovelaceSquare / kernelize

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Kernelize transforms bilinear data (exponential decays) using kernels to provide trilinear data.

matlab data-transformation preprocessing laplace-transform chemometrics mcr parafac unmixing exponential-decay curve-resolution fluorescence-lifetime time-resolved-spectroscopy tensorization kernel-matrix kernelizing multiexponential-decays trilinear-model kernel-transformation bilinear-to-trilinear unique-decomposition
  • Updated Aug 7, 2026
  • MATLAB

LovelaceSquare / parafac-als-lite

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The PARAFAC-ALS (Lite version) algorithm unmixes trilinear data to obtain the pure components.

matlab tensor-factorization fluorescence chromatography chemometrics cp-decomposition alternating-least-squares parafac unmixing curve-resolution non-negative-least-squares parallel-factor-analysis three-way-data trilinear-model fnnls lack-of-fit khatri-rao-product multiway-analysis factor-matrices excitation-emission
  • Updated Aug 7, 2026
  • MATLAB

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