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Revision 944, 0.7 kB
(checked in by smidl, 14 years ago)
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Doc + new examples
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| 1 | clear all |
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| 2 | % name random variables |
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| 3 | x = RV({'x'},2); |
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| 4 | |
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| 5 | |
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| 6 | fx.class = 'mgnorm<ldmat>'; |
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| 7 | fx.rv = x; |
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| 8 | fx.rvc = RVtimes(x,-1); |
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| 9 | fx.g.class= 'mexFnc'; % function is evaluated in matlab |
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| 10 | fx.g.function = 'test_function'; % name of the matlab function to evaluate |
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| 11 | fx.g.dim = 2; % expected dimension of output |
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| 12 | fx.g.dimc = 2; % expected dimension of input |
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| 13 | fx.R = eye(2); % variance R |
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| 14 | |
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| 15 | |
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| 16 | % create DS |
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| 17 | DS.class = 'PdfDS'; |
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| 18 | DS.pdf = fx; |
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| 19 | DS.init_rv = RVtimes([x], [-1]); |
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| 20 | DS.init_values = [0.1, 0.2]; |
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| 21 | |
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| 22 | experiment.ndat=100; |
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| 23 | |
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| 24 | %M=estimator(DS,{},experiment); |
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| 25 | M=estimator(DS,{},experiment); |
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| 26 | |
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| 27 | %%% store results |
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