def test_002_cc(self):
N = 10000 # number of samples to use
fs = 1000 # baseband sampling rate
rrate = 1.123 # resampling rate
freq = 10
data = sig_source_c(fs, freq, 1, N)
signal = blocks.vector_source_c(data)
op = filter.fractional_resampler_cc(0.0, rrate)
snk = blocks.vector_sink_c()
self.tb.connect(signal, op, snk)
self.tb.run()
Ntest = 5000
L = len(snk.data())
t = map(lambda x: float(x)/(fs/rrate), xrange(L))
phase = 0.1884
expected_data = map(lambda x: math.cos(2.*math.pi*freq*x+phase) + \
1j*math.sin(2.*math.pi*freq*x+phase), t)
dst_data = snk.data()
self.assertComplexTuplesAlmostEqual(expected_data[-Ntest:], dst_data[-Ntest:], 3)
def __init__(self, noise_voltage, freq, timing):
gr.hier_block2.__init__(self, "channel_model",
gr.io_signature(1, 1, gr.sizeof_gr_complex),
gr.io_signature(1, 1, gr.sizeof_gr_complex))
timing_offset = filter.fractional_resampler_cc(0, timing)
noise_adder = blocks.add_cc()
noise = analog.noise_source_c(analog.GR_GAUSSIAN, noise_voltage, 0)
freq_offset = analog.sig_source_c(1, analog.GR_SIN_WAVE, freq, 1.0,
0.0)
mixer_offset = blocks.multiply_cc()
self.connect(self, timing_offset)
self.connect(timing_offset, (mixer_offset, 0))
self.connect(freq_offset, (mixer_offset, 1))
self.connect(mixer_offset, (noise_adder, 1))
self.connect(noise, (noise_adder, 0))
self.connect(noise_adder, self)
def __init__(self, noise_voltage, freq, timing):
gr.hier_block2.__init__(self, "channel_model",
gr.io_signature(1, 1, gr.sizeof_gr_complex),
gr.io_signature(1, 1, gr.sizeof_gr_complex))
timing_offset = filter.fractional_resampler_cc(0, timing)
noise_adder = blocks.add_cc()
noise = analog.noise_source_c(analog.GR_GAUSSIAN,
noise_voltage, 0)
freq_offset = analog.sig_source_c(1, analog.GR_SIN_WAVE,
freq, 1.0, 0.0)
mixer_offset = blocks.multiply_cc();
self.connect(self, timing_offset)
self.connect(timing_offset, (mixer_offset,0))
self.connect(freq_offset, (mixer_offset,1))
self.connect(mixer_offset, (noise_adder,1))
self.connect(noise, (noise_adder,0))
self.connect(noise_adder, self)
