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comparison m-toolbox/classes/@pzmodel/fngen.m @ 0:f0afece42f48

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author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 23 Nov 2011 19:22:13 +0100
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1 % FNGEN creates an arbitrarily long time-series based on the input pzmodel.
2 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
3 %
4 % DESCRIPTION: FNGEN creates an arbitrarily long time-series based on the
5 % input pzmodel.
6 %
7 % CALL: b = fngen(pzm, pl)
8 %
9 % PARAMETERS: 'Nsecs' - The number of seconds to produce
10 % [default: inverse of PSD length]
11 % 'Win' - The spectral window to use for blending segments
12 % [default: Kaiser -150dB]
13 %
14 % <a href="matlab:utils.helper.displayMethodInfo('pzmodel', 'fngen')">Parameters Description</a>
15 %
16 % VERSION: $Id: fngen.m,v 1.21 2011/04/08 08:56:33 hewitson Exp $
17 %
18 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
19
20 function varargout = fngen(varargin)
21
22 %%% Check if this is a call for parameters
23 if utils.helper.isinfocall(varargin{:})
24 varargout{1} = getInfo(varargin{3});
25 return
26 end
27
28 % Collect input variable names
29 in_names = cell(size(varargin));
30 for ii = 1:nargin,in_names{ii} = inputname(ii);end
31
32 % Collect all AOs and plists
33 [pzms, pzm_invars] = utils.helper.collect_objects(varargin(:), 'pzmodel', in_names);
34 pl = utils.helper.collect_objects(varargin(:), 'plist', in_names);
35
36 % combine plists
37 pl = combine(pl, getDefaultPlist());
38
39 % Loop over input pzms
40 bs(1:numel(pzms)) = ao();
41 for j=1:numel(pzms)
42 % get sample rate to specify Nyquist
43 fs = find(pl, 'fs');
44 if isempty(fs)
45 fs = round(getupperFreq(pzms(j)) * 10);
46 end
47 if fs < 1
48 fs = 1;
49 end
50
51 % Compute the frequency vector
52 Nf = 10001;
53 f1 = 0;
54 f2 = fs/2;
55 f = linspace(f1,f2,Nf);
56 N = 2*(Nf-1);
57 % Compute model response
58 w = ao(plist('tsfcn', 'sqrt(fs/2).*randn(size(t))', 'fs', fs, 'Nsecs', N));
59 wxx = pwelch(w, plist('Nfft', N, 'win', specwin('Rectangular', N)));
60 axx = resp(pzms(j), plist('f', f));
61
62 % Compute desired PSD
63 wxx.data.setY(wxx.y .* (abs(axx.y).^2));
64
65 % Call ao/fngen
66 b = fngen(wxx, pl);
67 b.data.setXunits('s');
68 b.data.setYunits('');
69
70 % Add history
71 b.addHistory(getInfo('None'), pl, pzm_invars(j), pzms(j).hist);
72
73 % Add to outputs
74 bs(j) = b;
75 end
76
77 % Set outputs
78 varargout{1} = bs;
79 end
80
81 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
82 % Local Functions %
83 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
84
85 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
86 %
87 % FUNCTION: getInfo
88 %
89 % DESCRIPTION: Get Info Object
90 %
91 % HISTORY: 11-07-07 M Hewitson
92 % Creation.
93 %
94 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
95
96 function ii = getInfo(varargin)
97 if nargin == 1 && strcmpi(varargin{1}, 'None')
98 sets = {};
99 pl = [];
100 else
101 sets = {'Default'};
102 pl = getDefaultPlist;
103 end
104 % Build info object
105 ii = minfo(mfilename, 'pzmodel', 'ltpda', utils.const.categories.sigproc, '$Id: fngen.m,v 1.21 2011/04/08 08:56:33 hewitson Exp $', sets, pl);
106 ii.setModifier(false);
107 end
108
109 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
110 %
111 % FUNCTION: getDefaultPlist
112 %
113 % DESCRIPTION: Get Default Plist
114 %
115 % HISTORY: 11-07-07 M Hewitson
116 % Creation.
117 %
118 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
119
120 function plout = getDefaultPlist()
121 persistent pl;
122 if exist('pl', 'var')==0 || isempty(pl)
123 pl = buildplist();
124 end
125 plout = pl;
126 end
127
128 function pl = buildplist()
129 pl = plist();
130
131 % Nsecs
132 p = param({'Nsecs', 'The length of the time-series in seconds.'}, paramValue.DOUBLE_VALUE(-1));
133 pl.append(p);
134
135 % Win
136 p = param({'Win', 'The window to use in the blending of consecutive segments.'}, paramValue.WINDOW);
137 pl.append(p);
138
139 end
140