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## Copyright (C) 2009-2014 Lukas F. Reichlin
##
## This file is part of LTI Syncope.
##
## LTI Syncope 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.
##
## LTI Syncope 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 LTI Syncope. If not, see <http://www.gnu.org/licenses/>.
## -*- texinfo -*-
## @deftypefn {Function File} {} plot (@var{dat})
## @deftypefnx {Function File} {} plot (@var{dat}, @var{exp})
## Plot signals of iddata identification datasets on the screen.
## The signals are plotted experiment-wise, either in time- or
## frequency-domain. For multi-experiment datasets,
## press any key to switch to the next experiment.
## If the plot of a single experiment should be saved by the
## @command{print} command, use @code{plot(dat,exp)},
## where @var{exp} denotes the desired experiment.
## @end deftypefn
## Author: Lukas Reichlin <lukas.reichlin@gmail.com>
## Created: February 2012
## Version: 0.2
function plot (dat, exp = ":")
if (nargin > 2) # nargin == 0 is handled by built-in plot
print_usage ();
endif
if (nargin == 2 && ! is_real_vector (exp))
error ("iddata: plot: second argument must be a vector of indices");
endif
expname = __labels__ (dat.expname, "exp");
expname = expname(exp);
idx = substruct ("()", {":", ":", ":", exp});
dat = subsref (dat, idx);
[n, p, m, e] = size (dat);
if (dat.timedomain)
if (m == 0) # time series
for k = 1 : e
if (k > 1)
pause
endif
plot (dat.y{k})
title (expname{k})
legend (__labels__ (dat.outname, "y"){:})
xlabel ("Time")
ylabel ("Output Signal")
endfor
else # inputs present
for k = 1 : e
if (k > 1)
pause
endif
subplot (2, 1, 1)
plot (dat.y{k})
title (expname{k})
legend (__labels__ (dat.outname, "y"){:})
ylabel ("Output Signal")
subplot (2, 1, 2)
stairs (dat.u{k})
legend (__labels__ (dat.inname, "u"){:})
xlabel ("Time")
ylabel ("Input Signal")
endfor
endif
else # frequency domain
if (m == 0) # time series
for k = 1 : e
if (k > 1)
pause
endif
bar (dat.w{k}, 20*log10 (abs (dat.y{k})))
xlim ([dat.w{k}(1), dat.w{k}(end)])
title (expname{k})
legend (__labels__ (dat.outname, "y"){:})
xlabel ("Frequency")
ylabel ("Output Magnitude [dB]")
endfor
else # inputs present
for k = 1 : e
if (k > 1)
pause
endif
subplot (2, 1, 1)
bar (dat.w{k}, 20*log10 (abs (dat.y{k})))
xlim ([dat.w{k}(1), dat.w{k}(end)])
title (expname{k})
legend (__labels__ (dat.outname, "y"){:})
ylabel ("Output Magnitude [dB]")
subplot (2, 1, 2)
bar (dat.w{k}, 20*log10(abs (dat.u{k})))
xlim ([dat.w{k}(1), dat.w{k}(end)])
legend (__labels__ (dat.inname, "u"){:})
xlabel ("Frequency")
ylabel ("Input Magnitude [dB]")
endfor
endif
endif
## TODO: think about the 20*log10 and the bars in general
endfunction
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