Robust PCA implementation and examples (Matlab)

A MATLAB toolbox for classifier: Version 1.0.7

functions for chromatography and mass spectrometry data analysis

A peak-fitting tool based on MATLAB for spectroscopic data analysis.

Continuous wavelet transform with support for Morse and Morlet waves and quick plotting functionality, similar to Matlab's built in cwt but faster and in some ways more complete.

Chemometrics Toolbox for MATLAB

拉曼光谱数学模型

Automated Raman Spectra Fluorescence Background Subtraction

A Matlab Implementation of Kernel PCA. Specific example, with a Gaussian Kernel function. Data is provided as a mat file.

The RamanSystem is designed to process, analyze, and classify Raman spectrum. It contains numerous powerful algorithms that are executed using a simple graphical user interface.

assorted Matlab files

Code for processing either Raman or SERS maps. Includes baseline correction, peak comparison, and post processing anaylsis.

Robust alignment of chromatograms by Moving Window Fast Fourier Transfrom

Create maps of Raman peaks for graphene