| 1 | % Random Variables |
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| 2 | a=struct('class','RV','names',{{'a'}}); |
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| 3 | b=struct('class','RV','names',{{'b'}}); |
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| 4 | ab=struct('class','RV','names',{{'a','b'}}); |
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| 5 | |
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| 6 | % Sources |
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| 7 | f1.class= 'enorm<ldmat>'; |
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| 8 | f1.mu = 3; |
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| 9 | f1.R = 1; |
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| 10 | f1.rv = b; |
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| 11 | |
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| 12 | % merger |
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| 13 | merger.class='merger_mix'; |
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| 14 | merger.method='lognormal'; |
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| 15 | merger.beta=2; |
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| 16 | merger.ncoms=20; |
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| 17 | merger.stop_niter=5; |
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| 18 | merger.effss_coef=1; |
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| 19 | %merger.dbg_file='merger_mix_dbg'; |
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| 20 | |
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| 21 | |
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| 22 | % 2D sources |
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| 23 | f3 = struct('class','enorm<ldmat>',... |
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| 24 | 'mu',[1,2],... |
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| 25 | 'R', [2 0; 0 1.5],... |
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| 26 | 'rv', ab); |
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| 27 | f4 = struct('class','egiw',... |
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| 28 | 'V',4*[5 2; 2 1],... |
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| 29 | 'nu', 4,... |
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| 30 | 'dimx', 1,... |
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| 31 | 'rv', ab); |
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| 32 | % 2D support |
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| 33 | support2.grid={[-5,5],[0.001,5]}; |
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| 34 | support2.nbins=[20,20]; |
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| 35 | |
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| 36 | % 2D |
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| 37 | vy2=merger_mx({f3,f1}, support2, merger) |
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| 38 | X=zeros(support2.nbins(1)); |
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| 39 | Y=zeros(support2.nbins(1)); |
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| 40 | Z=zeros(support2.nbins(1)); |
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| 41 | |
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| 42 | figure(2); |
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| 43 | subplot(1,3,1); |
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| 44 | hold off |
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| 45 | plot(vy2.support(1,:),vy2.support(2,:),'.','MarkerSize',4) |
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| 46 | hold on |
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| 47 | contour_2(vy2.support(1,:),vy2.support(2,:),vy2.weights) |
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| 48 | subplot(1,3,2); |
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| 49 | contour_2(vy2.support(1,:),vy2.support(2,:),vy2.source1) |
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| 50 | subplot(1,3,3); |
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| 51 | contour_2(vy2.support(1,:),vy2.support(2,:),vy2.source2) |
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