Pulizia del codice.

diff --git a/Filtering/Filtering.py b/Filtering/Filtering.py
index ecf2dd3..6a280fa 100644
--- a/Filtering/Filtering.py
+++ b/Filtering/Filtering.py
@@ -241,6 +241,12 @@ class FilterBank():
         will be the delay when recovering
         """
         self.length = length
+
+    def EndEffectLength(self):
+        """Cerchiamo di dare una valutazione di quanto gli effetti
+        di bordo potrebbero rovinare la traccia per preseravare le
+        informazioni finali"""
+        return (-2) * pow(2,self.depth) * len(self.lowPassFilter.GetResponse())

     def Split(self, samples):
         """
@@ -257,8 +263,7 @@ class FilterBank():
         samplesStack.PushEndSamples (end)

         # Non sono proprio sicuro che questo sia il modo migliore per farlo.
-        end_effect_number = (-2) * self.depth * len(self.lowPassFilter.GetResponse())
-        samplesStack.PushEndEffectSamples (low[end_effect_number:])
+        samplesStack.PushEndEffectSamples (low[self.EndEffectLength():])

         # Do the real filtering and downsampling. Store the downsampled
         # details in the array.
@@ -299,7 +304,7 @@ class FilterBank():
             low = roll(low, -1 * self.length)

         # Riparo gli eventuali end effect
-        low[-2*self.depth*len(self.lowPassFilter.GetResponse()):] = samplesStack.PopEndEffectSamples ()
+        low[self.EndEffectLength():] = samplesStack.PopEndEffectSamples ()

         # Riattacchiamo la coda
         return concatenate ((low, end))
@@ -328,9 +333,9 @@ LeoFilterBank.SetFilterMatrix ( [
         [0.25 , 0.5 , 0.25 ],
         [0.25 , -0.5, 0.25] ,
         [0.5 , 1, 0.5],
-        [0.5, -1, 0.5]
+        [-0.5, 1, -0.5]
         ])
-LeoFilterBank.SetLength(3)
+LeoFilterBank.SetLength(2)

 StrangFilterBank = FilterBank ()
 StrangFilterBank.SetFilterMatrix ( [
diff --git a/Filtering/dwt.py b/Filtering/dwt.py
index c515b08..3cf2eb0 100755
--- a/Filtering/dwt.py
+++ b/Filtering/dwt.py
@@ -61,7 +61,7 @@ LoadingLibrariesStarted()
 # Importing libraries
 import Filtering
 from pylab import show, plot, title, xlabel, ylabel, rcParams
-from numpy import array, sqrt, memmap, roll
+from numpy import array, sqrt, memmap, roll, inf
 from numpy.linalg import norm
 import time

@@ -100,6 +100,7 @@ class DWT():
             filterBank = Filtering.StrangFilterBank
             self.filterBankName = "Strang"
         elif filterbank == 'leo':
+            # Ci sono ancora dei problemi con questa.
             filterBank = Filtering.LeoFilterBank
             self.filterBankName = "Leo"
         else:
@@ -128,11 +129,14 @@ class DWT():
             a = norm(rebuilt - samples)
             if (a > 1E-2):
                 Output ("Error while reconstructing. Rebuilt samples differs from original ones")
-                Output ("||rebuilt - samples|| = %f" % a)
+                Output ("|rebuilt - samples| = %f" % a)
+                Output ("|rebuilt - samples|_inf = %f" % norm(rebuilt-samples,inf))
                 Output ("There is likely an error in the code")
+
             elif (a > 1E-6):
                 Output ("Error while reconstructing. Rebuilt samples differs from original ones")
                 Output ("This is likely an approximation error (the error is quite small)")
+                Output ("|rebuilt - samples|_inf = %f" % norm(rebuilt-samples,inf))
             else:
                 Output ("Perfect reconstruction succeeded")
             self.WriteSamples(rebuilt, filewrite)