X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?p=CreaPhase.git;a=blobdiff_plain;f=octave_packages%2Fsignal-1.1.3%2Fsgolayfilt.m;fp=octave_packages%2Fsignal-1.1.3%2Fsgolayfilt.m;h=6ea1749de3a26bad9dfa82fbcb8eae9a2ddfa5e4;hp=0000000000000000000000000000000000000000;hb=f5f7a74bd8a4900f0b797da6783be80e11a68d86;hpb=1705066eceaaea976f010f669ce8e972f3734b05

diff --git a/octave_packages/signal-1.1.3/sgolayfilt.m b/octave_packages/signal-1.1.3/sgolayfilt.m
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+## Copyright (C) 2001 Paul Kienzle <pkienzle@users.sf.net>
+## Copyright (C) 2004 Pascal Dupuis <Pascal.Dupuis@esat.kuleuven.ac.be>
+##
+## This program is free software; you can redistribute it and/or modify it under
+## the terms of the GNU General Public License as published by the Free Software
+## Foundation; either version 3 of the License, or (at your option) any later
+## version.
+##
+## This program is distributed in the hope that it will be useful, but WITHOUT
+## ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
+## FITNESS FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
+## details.
+##
+## You should have received a copy of the GNU General Public License along with
+## this program; if not, see <http://www.gnu.org/licenses/>.
+
+## y = sgolayfilt (x, p, n [, m [, ts]])
+##    Smooth the data in x with a Savitsky-Golay smoothing filter of
+##    polynomial order p and length n, n odd, n > p.  By default, p=3
+##    and n=p+2 or n=p+3 if p is even.
+##
+## y = sgolayfilt (x, F)
+##    Smooth the data in x with smoothing filter F computed by sgolay.
+##
+## These filters are particularly good at preserving lineshape while
+## removing high frequency squiggles. Particularly, compare a 5 sample
+## averager, an order 5 butterworth lowpass filter (cutoff 1/3) and
+## sgolayfilt(x, 3, 5), the best cubic estimated from 5 points:
+##
+##    [b, a] = butter(5,1/3);
+##    x=[zeros(1,15), 10*ones(1,10), zeros(1,15)];
+##    plot(sgolayfilt(x),"r;sgolayfilt;",...
+##         filtfilt(ones(1,5)/5,1,x),"g;5 sample average;",...
+##         filtfilt(b,a,x),"c;order 5 butterworth;",...
+##         x,"+b;original data;");
+##
+## See also: sgolay
+
+## TODO: Patch filter.cc so that it accepts matrix arguments
+
+function y = sgolayfilt (x, p = 3, n, m = 0, ts = 1)
+
+  if nargin < 1 || nargin > 5
+    print_usage;
+  endif
+
+  if (nargin >= 3)
+    F = sgolay(p, n, m, ts);
+  elseif (prod(size(p)) == 1)
+    n = p+3-rem(p,2);
+    F = sgolay(p, n);
+  else
+    F = p;
+    n = size(F,1);
+    if (size(F,1) != size(F,2))
+      error("sgolayfilt(x,F): F is not a Savitzsky-Golay filter set");
+    endif
+  endif
+
+  transpose = (size(x,1) == 1);
+  if (transpose) x = x.'; endif;
+  len = size(x,1);
+  if (len < n)
+    error("sgolayfilt: insufficient data for filter");
+  endif
+
+  ## The first k rows of F are used to filter the first k points
+  ## of the data set based on the first n points of the data set.
+  ## The last k rows of F are used to filter the last k points
+  ## of the data set based on the last n points of the dataset.
+  ## The remaining data is filtered using the central row of F.
+  ## As the filter coefficients are used in the reverse order of what
+  ## seems the logical notation, reverse F(k+1, :) so that antisymmetric
+  ## sequences are used with the right sign.
+
+  k = floor(n/2);
+  z = filter(F(k+1,n:-1:1), 1, x);
+  y = [ F(1:k,:)*x(1:n,:) ; z(n:len,:) ; F(k+2:n,:)*x(len-n+1:len,:) ];
+
+  if (transpose) y = y.'; endif
+
+endfunction
+
+%!demo
+%! [b, a] = butter(5,1/3);
+%! x=[zeros(1,15), 10*ones(1,10), zeros(1,15)];
+%! subplot(121); title("boxcar");
+%! axis([1 40 -2 15]);
+%! plot(sgolayfilt(x),"r;sgolay(3,5);",...
+%!      filtfilt(ones(1,5)/5,1,x),"g;5 sample average;",...
+%!      filtfilt(b,a,x),"c;order 5 butterworth;",...
+%!      x,"+b;original data;"); title("");
+%!
+%! x=x+randn(size(x))/2;
+%! subplot(122); title("boxcar+noise");
+%! plot(sgolayfilt(x,3,5),"r;sgolay(3,5);",...
+%!      filtfilt(ones(1,5)/5,1,x),"g;5 sample average;",...
+%!      filtfilt(b,a,x),"c;order 5 butterworth;",...
+%!      x,"+b;original data;"); title("");
+
+%!demo
+%! [b, a] = butter(5,1/3);
+%! t = 0:0.01:1.0;                         % 1 second sample
+%! x=cos(2*pi*t*3);                        % 3 Hz sinusoid
+%! subplot(121); title("sinusoid");
+%! axis([0 1 -1.5 2.5]);
+%! plot(t,sgolayfilt(x,3,5),"r;sgolay(3,5);",...
+%!      t,filtfilt(ones(1,5)/5,1,x),"g;5 sample average;",...
+%!      t,filtfilt(b,a,x),"c;order 5 butterworth;",...
+%!      t,x,"+b;original data;"); title("");
+%!
+%! x=x+0.2*randn(size(x));                % signal+noise
+%! subplot(122); title("sinusoid+noise");
+%! plot(t,sgolayfilt(x',3,5),"r;sgolay(3,5);",...
+%!      t,filtfilt(ones(1,5)/5,1,x),"g;5 sample average;",...
+%!      t,filtfilt(b,a,x),"c;order 5 butterworth;",...
+%!      t,x,"+b;original data;"); title("");