Exemplo n.º 1
0
def test9():
    N = 128
    H = genf2hilbert(N)
    hc = fourier.ifft(H)
    h0 = [samp.imag for samp in hc]
    h = h0[N//2:] + h0[0:N//2] + [h0[0]]
    print len(h)
    stemplot(h)
    #Signal
    Nsig = 1024
    f = 50
    signal = [math.sin(2*f*math.pi*x/Nsig) for x in xrange(Nsig)]
    hilbsign, origsign = convolution.convolveorig(h, N//2, signal)
    mag = [math.sqrt(origsign[x]*origsign[x] + hilbsign[x]*hilbsign[x]) for x in xrange(len(hilbsign))]
    fig, ax = pyplot.subplots(1)
    ax.plot(hilbsign,'-r')
    ax.plot(origsign,'-b')
    ax.plot(mag,'-k')
    pyplot.show()
Exemplo n.º 2
0
def test11():
    N = 1024
    f = 25
    dd = N/2
    nn = N/10
    signal = [math.exp(-((dd-x)/nn)**2/2)*math.sin(2*f*math.pi*x/N) for x in xrange(N)]
    ###
    Nhilb = 256
    H = genf2hilbert(Nhilb)
    hc = fourier.ifft(H)
    h0 = [samp.imag for samp in hc]
    h = h0[Nhilb//2:] + h0[0:Nhilb//2] + [h0[0]]
    ###
    hsignal, origsig = convolution.convolveorig(h, Nhilb//2, signal)
    mag = [math.sqrt(origsig[x]*origsig[x] + hsignal[x]*hsignal[x]) for x in xrange(len(hsignal))]
    ###
    fig, ax = pyplot.subplots(1)
    ax.plot(origsig,'-b')
    ax.plot(hsignal,'-r')
    ax.plot(mag,'-k')
    pyplot.show()
Exemplo n.º 3
0
def test3():
    N = 1024
    f = 10
    signal = [math.sin(2*f*math.pi*x/N) for x in xrange(N)]
    #signal = [0]*512 + [1] + [0]*511
    t = [x/N for x in xrange(N)]
    hilb = genhilbert(150+1)
    dly = convolution.Delay(75, len(hilb))
    cnv = convolution.Convolution(hilb)
    hilbsign, origsign = convolution.convolveorig(hilb, 75, signal)
    print len(origsign)
    print len(hilbsign)
    #fig, ax = pyplot.subplots(1)
    #ax.plot(t, signal,'-')
    #pyplot.show()
    mag = [math.sqrt(origsign[x]*origsign[x] + hilbsign[x]*hilbsign[x]) for x in xrange(len(hilbsign))]
    fig, ax = pyplot.subplots(1)
    ax.plot(hilbsign,'-r')
    ax.plot(origsign,'-b')
    ax.plot(mag,'-k')
    pyplot.show()
Exemplo n.º 4
0
def test7():
    N = 1024
    f = 20
    signal = [math.sin(2*f*math.pi*x/N) for x in xrange(N)]
    #signal = [0]*512 + [1] + [0]*511
    t = [x/N for x in xrange(N)]
    Nhilb = 128
    H = genfhilbert(Nhilb)
    hc = fourier.ifft(H)
    h0 = [samp.real for samp in hc]
    hilb = h0[Nhilb//2:] + h0[0:Nhilb//2] + [h0[0]]
    print len(hilb)
    hilbsign, origsign = convolution.convolveorig(hilb, 64, signal)
    print len(origsign)
    print len(hilbsign)
    #fig, ax = pyplot.subplots(1)
    #ax.plot(t, signal,'-')
    #pyplot.show()
    mag = [math.sqrt(origsign[x]*origsign[x] + hilbsign[x]*hilbsign[x]) for x in xrange(len(hilbsign))]
    fig, ax = pyplot.subplots(1)
    ax.plot(hilbsign,'-r')
    ax.plot(origsign,'-b')
    ax.plot(mag,'-k')
    pyplot.show()