Convolución discreta con Python.

#By Mark Wickert from Signals and Systems For Dummies
import numpy as np
import pylab as pl
import ssd

n=np.arange(-4,6)
xd1=2*ssd.drect(n,4)
hd1=1.5*ssd.dimpulse(n)-0.5*ssd.drect(n+1,3)
#hd1=-0.5*ssd.dimpulse(n+1)+1*ssd.dimpulse(n)-0.5*ssd.dimpulse(n-1)
yd1_num,nd1=ssd.conv_sum(xd1,n,hd1,n)
#pl.subplot(1,3,1)
pl.figure(1)
pl.stem(n,xd1)
pl.title('x[n]'), pl.axis([-4,5,-1,3]),pl.grid(True)
#pl.subplot(1,3,2)
pl.figure(2)
pl.stem(n,hd1),pl.grid(True)
pl.title('h[n]')
#pl.subplot(1,3,3)
pl.figure(3)
pl.stem(nd1,yd1_num), pl.axis([-4,5,-2,2]),pl.grid(True)
pl.title('y[n]=x[n]*h[n]')