Convolución continua con Python.

#By Mark Wickert from Signals and Systems For Dummies
def expo_conv(t,A,alpha):
    import numpy as np
    y = np.zeros(len(t))
    for k, tk in enumerate(t):
        if tk >= 0:
            y[k] = A/alpha*(1 - np.exp(-alpha*tk))
    return y
 
import numpy as np
import pylab as pl
import ssd
    
t = np.arange(-4,14,.01)
xc2 = ssd.step(t)
hc2 = ssd.step(t)*np.exp(-1*t)
yc2_num,tyc2 = ssd.conv_integral(xc2,t,hc2,t,('r','r'))
#pl.subplot(211)
pl.plot(tyc2,yc2_num,linewidth=2)
pl.grid(True)
pl.xlabel('Tiempo (t)')
pl.title('y(t)=x(t)*h(t)')
pl.axis([-8,10,-0.5,1.5])
#pl.subplot(212)
#pl.plot(t,expo_conv(t,1,1))