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")