view Code/Descriptors/yin/private/rsmooth.m @ 3:e1cfa7765647

initial commit - this file calculates the basic set of metrics (mean, variance, min and max, from an array of supplied data.

%y=rsmooth(x,smooth,npasses,trim) - smooth by running convolution
%
% X: input matrix
% SMOOTH: samples - size of square smoothing window
% NPASSES: number of smoothing passes (default=1)
% TRIM: if true, clip Y to same size as X
% 
% Y: output matrix
%
% RSMOOTH smooths each column of matrix X by convolution with a square window
% followed by division by the window size.
% Multiple passes allow smoothing with a triangular window (npasses=2), or
% window shapes that approach a gaussian (npasses large).  Convolution is
% implemented as a running sum for speed.
% 
% Y has NPASSES*(SMOOTH-1) more rows than X unless TRIM is set.
%
% mex function