def test_dpll_bb_002(self):
period = 4
gain = 0.1
src_data = 10*((period-1)*[0,] + [1,])
expected_result = src_data
src = blocks.vector_source_b(src_data)
op = analog.dpll_bb(period, gain)
dst = blocks.vector_sink_b()
self.tb.connect(src, op)
self.tb.connect(op, dst)
self.tb.run()
result_data = dst.data()
self.assertComplexTuplesAlmostEqual(expected_result, result_data, 4)
def test_dpll_bb_002(self):
period = 4
gain = 0.1
src_data = 10*((period-1)*[0,] + [1,])
expected_result = src_data
src = blocks.vector_source_b(src_data)
op = analog.dpll_bb(period, gain)
dst = blocks.vector_sink_b()
self.tb.connect(src, op)
self.tb.connect(op, dst)
self.tb.run()
result_data = dst.data()
self.assertComplexTuplesAlmostEqual(expected_result, result_data, 4)
def test_dpll_bb_001(self):
# Test set/gets
period = 1.0
gain = 0.1
op = analog.dpll_bb(period, gain)
op.set_gain(0.2)
g = op.gain()
self.assertAlmostEqual(g, 0.2)
f = op.freq()
self.assertEqual(1 / period, f)
d0 = 1.0 - 0.5 * f
d1 = op.decision_threshold()
self.assertAlmostEqual(d0, d1)
p = op.phase()
self.assertEqual(0, p)
def test_dpll_bb_001(self):
# Test set/gets
period = 1.0
gain = 0.1
op = analog.dpll_bb(period, gain)
op.set_gain(0.2)
g = op.gain()
self.assertAlmostEqual(g, 0.2)
f = op.freq()
self.assertEqual(1 / period, f)
d0 = 1.0 - 0.5*f;
d1 = op.decision_threshold()
self.assertAlmostEqual(d0, d1)
p = op.phase()
self.assertEqual(0, p)