The (VI(S)TA) GPCA Toolbox  is a Matlab Toolbox for estimates the Gaussianization transformation based on PCA
from given multidimensional signals.

Citation:

We have decided to make the library available to the research community free of charge. If you use Vista GPCA Toolbox in your research, we kindly ask that you reference this website: 

V. Laparra, G. Camps and J. Malo. "VistaGPCAToolbox"

http://www.uv.es/vista/vistavalencia/software/software.html

and the paper(s) associated:

'PCA Gaussianization for Image Processing'
Valero Laparra, Gustavo Camps-Valls and Jesús Malo
ICIP: IEEE International Conference on Image Processing 2009

Installation:

• Download the file VistaGPCAToolbox1.0.rar (8 KBytes)
• Decompress at your computer and set the Matlab path accordingly.
• Look at the help of the functions below for instructions on how to use each algorithm.
• Warning!: VistaQualityTools1.0 has been tested on Matlab 7.2 (Matlab 2006a).  Posterior Matlab versions for windows may need recompilation of some mex files of MatlabPyrTools.

Basic functions:

• GPCA.m function: estimates the Gaussianization transformation based on PCA  from given multidimensional signals. Each column of matrix 'dat' is one observed signal.

• inv_GPCA.m function: computes the inverse transformation obtained by GPCA.m

• GPCA_jacobian.m: estimates the jacobian of the Gaussianization transformation obtained with GPCA.m

See the Matlab help of each funtion for more information