Aggiunto script per convertire file in wav e qualche modifica.

diff --git a/Filtering/dwt b/Filtering/dwt
index ee2cc7b..dcf2eba 100755
--- a/Filtering/dwt
+++ b/Filtering/dwt
@@ -2,9 +2,11 @@
 # -*- coding: utf-8 -*-
 #

-import Filtering, pylab
+import Filtering
+from pylab import show, plot
 from numpy import array, sqrt, memmap, roll
 from numpy.linalg import norm
+import time

 from optparse import OptionParser

@@ -18,6 +20,8 @@ class DWT():
     def __init__(self, filename, action = 'show', filewrite = 'rebuilt.pcm',
                  filterbank = 'haar', depth = 4):

+        startingTime = time.time ()
+
         # Scelgo la filterbank da utilizzare
         if filterbank == 'haar':
             filterBank = Filtering.HaarFilterBank
@@ -34,17 +38,23 @@ class DWT():
         samples = self.LoadSamples (filename)
         wavelets = filterBank.Split (samples)

+        Output ("Decomposed in %f seconds" % (time.time() - startingTime))
+
         # Mostro la decomposizione se l'utente l'ha chiesto
         if action == 'show':
             self.Show (wavelets)


         if action is 'rebuild':
+            startingTime = time.time ()
             rebuilt = filterBank.Rebuild (wavelets)
+            Output ("Rebuilt in %f seconds" % (time.time() - startingTime))
             Output ("||rebuilt - samples|| = %f" % norm(rebuilt - samples[0:len(rebuilt)]))
             self.WriteSamples(rebuilt, filewrite)


+
+
     def LoadSamples(self, filename = "sunny.pcm"):
         """
         Load the samples from an audio file
@@ -70,12 +80,15 @@ class DWT():
         """
         scale = 1
         offset = -90000
+        # We plot only the first 2000 samples, to avoid memory
+        # being flooded with our data :)
+        toPlot = 1000000
         for samples in wavelets[0:-1]:
-            pylab.plot (range(0, scale * len(samples), scale), samples + offset)
+            plot (range(0, toPlot, scale), samples[0:toPlot / scale] + offset)
             offset += 30000
             scale = 2*scale
-        pylab.plot (range(0, int(0.5*scale*len(wavelets[-1])), int(0.5 * scale)), wavelets[-1] + offset)
-        pylab.show ()
+        plot ( range(0, toPlot, int(0.5 * scale)), wavelets[-1][:2 * toPlot /scale] + offset)
+        show ()


 if __name__ == "__main__":
diff --git a/Filtering/shell.sh b/Filtering/shell.sh
new file mode 100755
index 0000000..f328fa1
--- /dev/null
+++ b/Filtering/shell.sh
@@ -0,0 +1,7 @@
+#!/bin/bash
+
+if [[ "$1" == "convert" ]]; then
+  ffmpeg -i "$2" -acodec pcm_s16le -ac 1 "$3"
+else
+  aplay -r 44100 -f s16_le "$1"
+fi