comparison utils.py @ 6:09651b934691

Absapprox.py: Fixed: SNRdb should be divided by 20, not 10. noiselevel should be norm/norm, not power/power

utils.py: Commented out one of the separations

             bigmatrix = numpy.zeros((N*rows,N*cols))
             for i in numpy.arange(rows):
               for j in numpy.arange(cols):
                 bigmatrix[i*N:i*N+N,j*N:j*N+N] = mdict['meanmatrix'][algoname][0,0][i,j]
             bigmatrix = int_drawseparation(mdict['meanmatrix'][algoname][0,0],bigmatrix,10,0.95,2,0)
-            bigmatrix = int_drawseparation(mdict['meanmatrix'][algoname][0,0],bigmatrix,10,0.9, 2,0.2)
+            #bigmatrix = int_drawseparation(mdict['meanmatrix'][algoname][0,0],bigmatrix,10,0.9, 2,0.2)
             bigmatrix = int_drawseparation(mdict['meanmatrix'][algoname][0,0],bigmatrix,10,0.8, 2,0.4)
             bigmatrix = int_drawseparation(mdict['meanmatrix'][algoname][0,0],bigmatrix,10,0.5, 2,1)
 #                # Mark 95% border
 #                if mdict['meanmatrix'][algoname][0,0][i,j] > thresh:
 #                  # Top border

                 bigmatrix = numpy.zeros((N*rows,N*cols))
                 for i in numpy.arange(rows):
                   for j in numpy.arange(cols):
                     bigmatrix[i*N:i*N+N,j*N:j*N+N] = matrix[i,j]
                 bigmatrix = int_drawseparation(matrix,bigmatrix,10,0.95,2,0)
-                bigmatrix = int_drawseparation(matrix,bigmatrix,10,0.9, 2,0.2)
+                #bigmatrix = int_drawseparation(matrix,bigmatrix,10,0.9, 2,0.2)
                 bigmatrix = int_drawseparation(matrix,bigmatrix,10,0.8, 2,0.4)
                 bigmatrix = int_drawseparation(matrix,bigmatrix,10,0.5, 2,1)
 #                    # Mark 95% border
 #                    if matrix[i,j] > thresh:
 #                      # Top border