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Imports and prepares Perkin-Elmer fluorometric data for MATLAB
Multiblock PCA and PLS methods for multi-source data analysis
Sparse PARAFAC fitting for incomplete multi-way data via Levenberg-Marquardt
Automated baseline correction, peak detection and grouping for chromatographic data
Removes Rayleigh and Raman scatter from fluorescence EEM data
Dynamic Time Warping and Correlation Optimized Warping for signal alignment
Merging and fusing multiple calibration models optimally
SIT decomposes multi-way data from GC-MS by modeling shift-invariant tri-linear structure, 20-60x faster than PARAFAC2.
Fast image super-resolution using conjugate gradient optimization for microscopy and imaging applications.
NIPALS performs PCA on data using iterative least squares and deflation steps. It can deal with missing values.