[409] | 1 | % Random Variables |
---|
| 2 | a=struct('class','RV','names',{{'a'}}); |
---|
| 3 | b=struct('class','RV','names',{{'b'}}); |
---|
| 4 | ab=struct('class','RV','names',{{'a','b'}}); |
---|
| 5 | |
---|
| 6 | % Sources |
---|
| 7 | f1.class= 'enorm<ldmat>'; |
---|
| 8 | f1.mu = 3; |
---|
| 9 | f1.R = 1; |
---|
| 10 | f1.rv = b; |
---|
| 11 | |
---|
| 12 | % merger |
---|
[411] | 13 | Merger.class='merger_mix'; |
---|
| 14 | Merger.method='lognormal'; |
---|
| 15 | Merger.beta=2; |
---|
| 16 | Merger.ncoms=20; |
---|
| 17 | Merger.stop_niter=5; |
---|
| 18 | Merger.effss_coef=1; |
---|
| 19 | %Merger.dbg_file='merger_mix_dbg'; |
---|
[409] | 20 | |
---|
| 21 | |
---|
| 22 | % 2D sources |
---|
| 23 | f3 = struct('class','enorm<ldmat>',... |
---|
| 24 | 'mu',[1,2],... |
---|
| 25 | 'R', [2 0; 0 1.5],... |
---|
| 26 | 'rv', ab); |
---|
| 27 | f4 = struct('class','egiw',... |
---|
| 28 | 'V',4*[5 2; 2 1],... |
---|
| 29 | 'nu', 4,... |
---|
| 30 | 'dimx', 1,... |
---|
| 31 | 'rv', ab); |
---|
| 32 | % 2D support |
---|
| 33 | support2.grid={[-5,5],[0.001,5]}; |
---|
| 34 | support2.nbins=[20,20]; |
---|
| 35 | |
---|
| 36 | % 2D |
---|
[411] | 37 | vy2=merger({f3,f1}, support2, Merger) |
---|
[409] | 38 | X=zeros(support2.nbins(1)); |
---|
| 39 | Y=zeros(support2.nbins(1)); |
---|
| 40 | Z=zeros(support2.nbins(1)); |
---|
| 41 | |
---|
| 42 | figure(2); |
---|
| 43 | subplot(1,3,1); |
---|
| 44 | hold off |
---|
| 45 | plot(vy2.support(1,:),vy2.support(2,:),'.','MarkerSize',4) |
---|
| 46 | hold on |
---|
| 47 | contour_2(vy2.support(1,:),vy2.support(2,:),vy2.weights) |
---|
| 48 | subplot(1,3,2); |
---|
| 49 | contour_2(vy2.support(1,:),vy2.support(2,:),vy2.source1) |
---|
| 50 | subplot(1,3,3); |
---|
| 51 | contour_2(vy2.support(1,:),vy2.support(2,:),vy2.source2) |
---|