def test_transceiver_00():
K = 32
M = 8
overlap = 2
alpha = 0.5
d = get_random_qpsk(M * K)
tx = gfdm_gr_modulator(d, 'rrc', alpha, M, K, overlap,
compat_mode=False) / (float(K))
rx = gfdm_gr_receiver(tx, 'rrc', alpha, M, K, overlap,
compat_mode=False) / (float(K))
plt.plot(d)
plt.plot(rx)
plt.show()
def test_transceiver_00():
import matplotlib.pyplot as plt
K = 32
M = 8
overlap = 2
alpha = 0.5
d = get_random_qpsk(M*K)
tx = gfdm_gr_modulator(d, 'rrc', alpha, M, K, overlap,
compat_mode=False)/(float(K))
rx = gfdm_gr_receiver(tx, 'rrc', alpha, M, K, overlap,
compat_mode=False)/(float(K))
plt.plot(d)
plt.plot(rx)
plt.show()
def test_transceiver_legacy_00():
K = 32
M = 8
overlap = 2
alpha = 0.5
oversampling_factor = 1
tests = 100
for t in xrange(tests):
d = get_random_qpsk(M * K)
tx = gfdm_gr_modulator(d, 'rrc', alpha, M, K, overlap)
rx = gfdm_rx_fft2(tx, 'rrc', alpha, M, K, overlap, oversampling_factor,
4, 16)
if not (np.max(np.abs(d - rx)) < 1e-2):
raise RuntimeError('Input and Output deviate')
def test_transceiver_00():
import matplotlib.pyplot as plt
K = 32
M = 8
overlap = 2
alpha = 0.5
d = get_random_qpsk(M * K)
tx = gfdm_gr_modulator(d, "rrc", alpha, M, K, overlap,
compat_mode=False) / (float(K))
rx = gfdm_gr_receiver(tx, "rrc", alpha, M, K, overlap,
compat_mode=False) / (float(K))
plt.plot(d)
plt.plot(rx)
plt.show()
def test_transceiver_legacy_00():
K = 32
M = 8
overlap = 2
alpha = 0.5
oversampling_factor = 1
tests = 100
for t in xrange(tests):
d = get_random_qpsk(M*K)
tx = gfdm_gr_modulator(d, 'rrc', alpha, M, K, overlap)
rx = gfdm_rx_fft2(
tx,
'rrc',
alpha,
M,
K,
overlap,
oversampling_factor,
4,
16)
if not (np.max(np.abs(d-rx)) < 1e-2):
raise RuntimeError('Input and Output deviate')