comparison scripts/ABSapprox.py @ 35:d4f9c906dc78

Save algo names as cell array now works ok (tested)

   
   d = 50.0
   sigma = 2.0
   deltas = np.array([0.05, 0.45, 0.95])
   rhos = np.array([0.05, 0.45, 0.95])
-  numvects = 100; # Number of vectors to generate
+  numvects = 10; # Number of vectors to generate
   SNRdb = 20.;    # This is norm(signal)/norm(noise), so power, not energy
   # Values for lambda
   #lambdas = [0 10.^linspace(-5, 4, 10)];
   lambdas = np.array([0., 0.0001, 0.01, 1, 100, 10000])
   

     tosave['deltas'] = deltas
     tosave['rhos'] = rhos
     tosave['numvects'] = numvects
     tosave['SNRdb'] = SNRdb
     tosave['lambdas'] = lambdas
-    tosave['algonames'] = [algotuple[1] for algotuple in algosN+algosL]
+    # Save algo names as cell array
+    obj_arr = np.zeros((len(algosN)+len(algosL),), dtype=np.object)
+    idx = 0
+    for algotuple in algosN+algosL:
+      obj_arr[idx] = algotuple[1]
+      idx = idx+1
+    tosave['algonames'] = obj_arr
     try:
       scipy.io.savemat(savedataname, tosave)
     except:
       print "Save error"
   # Show