def demo1():
l = 16
t = 16
data1 = [math.sin(i) for i in range(0,l)]
data = data1
ao,c = simpleHaar(data)
print ao,c
jaha = normalize(c)
co=unpack(c)
c = magnitude(jaha,False)
c.insert(0,ao[0])
a,c = utils.zerotrunk(c,t)
rec = reconstruction([a],c)
c = magnitude(co,False)
c.insert(0,ao[0])
a,c = utils.zerotrunk(c,t)
rec2 = reconstruction([a],c)
print rec
plt.plot(data)
plt.plot(dups(rec,l/t))
plt.plot(dups(rec2,l/t))
plt.show()
def reconstruct(coeffs, trunkate,originalLength):
a,c = utils.zerotrunk(coeffs,trunkate)
rec = reconstruction([a],c)
m=merge(rec,trunkate)
#l = dups(m,2)
ret = utils.extendV(m,originalLength)
return ret
def demo3():
print C
a,c = simpleHaar(C)
print a,c
#c = normalize(c)
c = unpack(c)
print c
#c = magnitude(c)
print c
c.insert(0,a[0])
print "Original Data",C
a,c = utils.zerotrunk(c,4)
print "data to reconstruct from",a,c
rec = reconstruction([a],c)
print "reconstructed",rec
m=merge(rec,4)
print "merged",m
l = dups(m,2)
print "lengthened",l
plt.plot(C)
plt.plot(l)
plt.show()
