1 | % Random Variables |
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2 | a=RV({'a'}); |
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3 | b=RV({'b'}); |
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4 | ab=RVjoin([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 = 5; |
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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=1.2; |
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16 | Merger.ncoms=20; |
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17 | Merger.stop_niter=50; |
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18 | Merger.effss_coef=0.9; |
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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', [1 -0.5; -0.5 1],... |
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26 | 'rv', ab); |
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27 | f4 = struct('class','mlnorm<ldmat>',... |
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28 | 'rv',a,... |
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29 | 'rvc', b,... |
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30 | 'A', 1,... |
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31 | 'const', 0,... |
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32 | 'R',1); |
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33 | % 2D support |
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34 | support2.class='rectangular_support'; |
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35 | support2.ranges={[-5,5],[0.001,9]}; |
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36 | support2.gridsizes=[30,30]; |
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37 | |
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38 | % 2D |
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39 | %vy2=merger({f3,f1}, support2, Merger) |
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40 | vy2=merger({f3,f4}, support2, Merger) |
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41 | |
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42 | figure(2); |
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43 | subplot(2,2,1); |
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44 | contour_2(vy2.support(1,:),vy2.support(2,:),vy2.source1) |
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45 | % set(gca,'XLim',[-5,5]) |
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46 | % set(gca,'YLim',[-1,7]) |
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47 | title('Source 1') |
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48 | subplot(2,2,2); |
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49 | contour_2(vy2.support(1,:),vy2.support(2,:),vy2.source2') |
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50 | % set(gca,'XLim',[-5,5]) |
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51 | % set(gca,'YLim',[-1,7]) |
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52 | title('Source 2') |
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53 | |
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54 | subplot(2,2,3); |
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55 | hold off |
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56 | contour_2(vy2.support(1,:),vy2.support(2,:),vy2.mix) |
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57 | % set(gca,'XLim',[-5,5]) |
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58 | % set(gca,'YLim',[-1,7]) |
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59 | title('Mixture Approximation') |
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60 | |
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61 | subplot(2,2,4); |
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62 | hold off |
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63 | plot(vy2.support(1,:),vy2.support(2,:),'.','MarkerSize',4) |
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64 | hold on |
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65 | contour_2(vy2.support(1,:),vy2.support(2,:),vy2.weights) |
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66 | % set(gca,'XLim',[-5,5]) |
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67 | % set(gca,'YLim',[-1,7]) |
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68 | title('Weighted Empirical') |
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69 | |
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