Code covered by the BSD License
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spectral_mva(varargin)
SPECTRAL_MVA M-file for spectral_mva.fig
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[BE,I]=vms_sp_read(filename,p...
function [BE,I]=vms_sp_read(filename,pl);
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[BE,I]=vms_sp_read_casa(filen...
function [BE,I]=vms_sp_read_casa(filename,pl);
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[X_sh, sp_sh]=shift_spectra_d...
function [X_sh, sp_sh]=shift_spectra_diff(spectra, X);
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[purspec,purint,purity_spec]=...
function [purspec,purint,purity_spec]=simplisma(data,varlist,offset,n,data2);
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[x_sh, y_sh]=shift_spectra(sp...
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[x_sh, y_sh]=shift_spectra_or...
function [x_sh, y_sh]=shift_spectra_or(spectra, X,C);
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data_der=invder(data)
data_der=invder(data)
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indd=match(x,y, tol,bro)
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reverplot(BE,I)
script to plot binding energy BE axis in reverse order
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uigetfiles.m
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View all files
Multivariate analysis and preprocessing of spectral data
by Kateryna Artyushkova
21 Jun 2007
(Updated 22 Jun 2007)
GUI for MVA of spectral data including various preprocessing options and three types of MVA analysis
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| File Information |
| Description |
SPECTRAL_MVA is a GUI for running Multivariate analysis of spectroscopic data
Initially designed for analysis of X-ray Photoelectron spectra, can be used for analysis of any type of data tables, containing spectra or any other data
Opens MAT files with or without a variable X. Opens VMS files (XPS spectra) either from original vision software or CASAXPS software
Preprocessing options of SMOOTHING, NORMALIZING, DERIVATIZING and SHIFTING spectra
Three MVA methods - PCA, SIMPLISMA and MCR
PLS_TOOLBOX from Eigenvector is a must |
| MATLAB release |
MATLAB 7.4 (R2007a)
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| Other requirements |
PLS_Toolbox from Eigenvector.com |
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| Updates |
| 22 Jun 2007 |
missing dependent file match.m |
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