def test_lfsr_002(self):
_a = lfsr_args(1, 51, 3, 0)
l = digital.lfsr(*_a)
seq = [l.next_bit() for _ in range(2**10)]
reg = np.zeros(52, np.int8)
reg[::-1][(51, 3, 0), ] = 1
res = (np.convolve(seq, reg) % 2)
self.assertTrue(sum(res[52:-52]) == 0, "LRS not generated properly")
def additive_scramble_lfsr(mask, seed, reglen, bpb, data):
l = digital.lfsr(mask, seed, reglen)
out = []
for d in data:
scramble_word = 0
for i in xrange(0,bpb):
scramble_word ^= l.next_bit() << i
out.append(d ^ scramble_word)
return tuple(out)
def additive_scramble_lfsr(mask, seed, reglen, bpb, data):
l = digital.lfsr(mask, seed, reglen)
out = []
for d in data:
scramble_word = 0
for i in range(0,bpb):
scramble_word ^= l.next_bit() << i
out.append(d ^ scramble_word)
return tuple(out)
def __init__(self,mask,seed,len):
gr.sync_block.__init__(self,
name="burst_scramble_bb",
in_sig=[],
out_sig=[])
self.message_port_register_in(pmt.intern('in'))
self.set_msg_handler(pmt.intern('in'), self.handler)
self.message_port_register_out(pmt.intern('out'))
self.lfsr = lfsr(mask,seed,len)
def test_lfsr_001(self):
reglen = 8
l = digital.lfsr(1, 1, reglen)
result_data = []
for i in xrange(4*(reglen+1)):
result_data.append(l.next_bit())
expected_result = 4*([1,] + reglen*[0,])
self.assertFloatTuplesAlmostEqual(expected_result, result_data, 5)
def test_lfsr_001(self):
reglen = 8
l = digital.lfsr(1, 1, reglen)
result_data = []
for i in range(4 * (reglen + 1)):
result_data.append(l.next_bit())
expected_result = 4 * ([
1,
] + reglen * [
0,
])
self.assertFloatTuplesAlmostEqual(expected_result, result_data, 5)
def test_lfsr_002(self):
l = digital.lfsr(*lfsr_args(0b1, 5, 3, 0))
result_data = [l.next_bit() for _ in range(2 * (2**5 - 1))]
expected_result = [
1, 0, 0, 0, 0, 1, 0, 1, 0, 1, 1, 1, 0, 1, 1, 0, 0, 0, 1, 1, 1, 1,
1, 0, 0, 1, 1, 0, 1, 0, 0
] * 2
self.assertEqual(expected_result, result_data)
seq1 = [l.next_bit() for _ in range(2**5 - 1)]
seq2 = [l.next_bit() for _ in range(2**5 - 1)]
self.assertEqual(seq1, seq2)
res = (np.convolve(seq1, [1, 0, 1, 0, 0, 1]) % 2)
self.assertTrue(sum(res[5:-5]) == 0, "LRS not generated properly")
