Introduction - If you have any usage issues, please Google them yourself
I developed an algorithm for using local ICA in denoising multidimensional data. It uses delay embedded version of the data, clustering and ICA for the separation between data and noise.
Packet : 15883840denoise.zip filelist
denoise/
denoise/aconv.m
denoise/autocor.m
denoise/choosenumberofcomponents.m
denoise/cplot.m
denoise/degrade.m
denoise/delay.m
denoise/demo.m
denoise/denoise.m
denoise/denoise_delayedcoordinates.m
denoise/denoise_locca.m
denoise/denoise_locca_findbest.m
denoise/dist.m
denoise/fastica.m
denoise/fasticapearson.m
denoise/findbeststep.m
denoise/fpica.m
denoise/gbd_momentfit.m
denoise/gbd_score.m
denoise/getmdl.m
denoise/icaplot.m
denoise/jade.m
denoise/kmeans_cluster.m
denoise/kurtosis.m
denoise/lena.mat
denoise/mdl.m
denoise/ort.m
denoise/pcamat.m
denoise/pearson_ica.m
denoise/pearson_momentfit.m
denoise/pearson_score.m
denoise/remmean.m
denoise/scplot.m
denoise/SNR.m
denoise/undelay.m
denoise/whitenv.m