# kcsd README
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# NOTE: Add this folder (that is the folder where you found this file) to your Matlab path
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# NOTE: For compatibility with Octave this code uses old matlab
# class system (without classdef)
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1.Create class instance:
k = kcsd(src_grid, out_grid, base_grid, V, sigma, ...optional parameters...);
where:
src_grid - electorde posiions
out_grid - list of point you want to estimate CSD
base_grid - centers of your base functions
V- measurements performed in points from src_grid
sigma - width of base fuction
2.(OPTIONAL) In case you want to use make noise reduction and avoid over-fitting run:
k = chooseRegParam(k, ...optional parameters...);
3.Run computations and estimate CSD
k = k.estimate()
4.Get your data (CSD) in following way
k.CSD
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# NOTE :For descriptions of optional parameters check the following:
# kcsd.m (for point 1)
# chooseRegParam.m (for point 2)
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# GL & HF
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