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MATLAB function for calculating custom functions within sliding window
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function [x_conv, window] = hb_calc_movingwindow( x, winsize, func, gaussOpt ) | |
% Calculating *func* using moving window | |
% ex) For moving average | |
% data = hb_calc_movingwindow( data, 100, @nanmean ); | |
% | |
% Written by hiobeen.han@kaist.ac.kr, 2020-07-27 | |
if nargin < 3, func = @nanmean; end | |
if nargin < 4, gaussOpt = false; end | |
v = round(-winsize*.5): round(winsize*.5); | |
if gaussOpt % Gaussian weight kernel (Sum is equal to 1) | |
sd = 2.56; | |
vv = 1/(sd*sqrt(2*pi)) * exp(-((v-mean(v)).^2) / (2*(sd^2))); | |
window = vv/max(vv); % Scale weight factor [zero to one] | |
else | |
window = ones(size(v)); | |
end | |
x_conv = []; | |
for idx = 1:length( x ) | |
w = idx - winsize*.5 : idx + winsize * .5; | |
dat_part1 = nan( [1, length( find( w<1) )] ); % nan padding | |
dat_part2 = x( w(find(w>0 & w<length(x)+1))); | |
dat_part3 = nan( [1, length(find(w>length(x)))]); % nan padding | |
dat = [ dat_part1, dat_part2, dat_part3 ]; | |
x_conv( idx ) = func( dat .* window ); | |
end | |
return | |
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