Rename different blipped-CAIPIRINHA strategies to A and B

ComputeMostHexagonalSampling.m

@@ -197,10 +197,10 @@ if doPlot
     plot(LArray, packingDensityArray, 'LineWidth', 3, 'Color', 'k', ...
         'DisplayName', 'All feasible sampling patterns');
     plot(L_CAIPI, packingDensityCAIPI, 'x', 'MarkerSize', 10, 'LineWidth', 3, ...
-        'DisplayName', 'Blipped-CAIPIRINHA');
+        'DisplayName', 'Blipped-CAIPIRINHA - A');
     if ~isempty(L_Narsude)
         plot(L_Narsude, packingDensityNarsude, 'x', 'MarkerSize', 10, 'LineWidth', 3, ...
-            'Color', [148,0,211]/255, 'DisplayName', 'Narsude et al.');
+            'Color', [148,0,211]/255, 'DisplayName', 'Blipped-CAIPIRINHA - B');
     end
     plot(L_optimum, packingDensity, 'x', 'MarkerSize', 10, 'LineWidth', 3, 'Color', ...
         [34, 139, 34]/255, 'DisplayName', 'Optimum sampling');

MakeOptDvsRPlot.m

@@ -47,11 +47,11 @@ for iNSim = 1:numel(NSimArray)
         plot(RArray(1:numel(packingDensity))*Nsim, packingDensity,...
             'DisplayName', ['As hexagonal as possible' name], 'LineWidth', 2, 'Color', [34, 139, 34]/255);
         plot(RArray(1:numel(packingDensity))*Nsim, packingDensityCAIPI,...
-            'DisplayName', ['Blipped-CAIPIRINHA' name], 'LineWidth', 2);
+            'DisplayName', ['Blipped-CAIPIRINHA - A' name], 'LineWidth', 2);
 
         isNarsude = mod(L_CAIPI,1)>0;
         plot(RArray(isNarsude)*Nsim, packingDensityCAIPI(isNarsude), '.',...
-            'DisplayName', ['Narsude et al.' name], 'MarkerSize', 5, 'Color', [148,0,211]/255);
+            'DisplayName', ['Blipped-CAIPIRINHA - B' name], 'MarkerSize', 5, 'Color', [148,0,211]/255);
 
         yline(pi/2/sqrt(3)*100, 'Color', [0.5 0.5 0.5], 'LineWidth', 2, 'DisplayName',...
             'Maximum circle packing density, 90.7%');