def test_symbol_demapper_qpsk(self):
# set up fg
demapper = isdbt.symbol_demapper_1seg(mode=3, constellation_size=4)
#src_data = (0.5 + 0.5j, 0.1 - 1.2j, -0.8 - 0.1j, -0.45 + 0.8j,
# 0.8 + 1.0j, -0.5 + 0.1j, 0.5 - 1.2j, -0.2 - 1.0j) * 48
src_syms = [
1 + 1j, 1 - 1j, -1 - 1j, -1 + 1j, 1 + 1j, -1 + 1j, 1 - 1j, -1 - 1j
]
src_syms_noisy = [self.add_noise(z) for z in src_syms]
src_data = src_syms_noisy * 48
# normalización sqrt(2) ?
expected_result = \
( 0, 1, 3, 2,
0, 2, 1, 3) * 48
src = blocks.vector_source_c(src_data)
str_to_vec = blocks.stream_to_vector(gr.sizeof_gr_complex, 384)
vec_to_str = blocks.vector_to_stream(gr.sizeof_char, 384)
dst = blocks.vector_sink_b()
self.tb.connect(src, str_to_vec)
self.tb.connect(str_to_vec, demapper)
self.tb.connect(demapper, vec_to_str)
self.tb.connect(vec_to_str, dst)
self.tb.run()
# check data
actual_result = dst.data()
#print "actual result", actual_result
#print "expected result", expected_result
self.assertFloatTuplesAlmostEqual(expected_result, actual_result)
def test_symbol_demapper_qpsk (self):
# set up fg
demapper = isdbt.symbol_demapper_1seg(mode=3, constellation_size=4)
#src_data = (0.5 + 0.5j, 0.1 - 1.2j, -0.8 - 0.1j, -0.45 + 0.8j,
# 0.8 + 1.0j, -0.5 + 0.1j, 0.5 - 1.2j, -0.2 - 1.0j) * 48
src_syms = [
1 + 1j, 1 - 1j, -1 - 1j, -1 + 1j,
1 + 1j, -1 + 1j, 1 - 1j, -1 - 1j ]
src_syms_noisy = [self.add_noise(z) for z in src_syms]
src_data = src_syms_noisy * 48
# normalización sqrt(2) ?
expected_result = \
( 0, 1, 3, 2,
0, 2, 1, 3) * 48
src = blocks.vector_source_c(src_data)
str_to_vec = blocks.stream_to_vector(gr.sizeof_gr_complex, 384)
vec_to_str = blocks.vector_to_stream(gr.sizeof_char, 384)
dst = blocks.vector_sink_b()
self.tb.connect(src,str_to_vec)
self.tb.connect(str_to_vec,demapper)
self.tb.connect(demapper,vec_to_str)
self.tb.connect(vec_to_str,dst)
self.tb.run()
# check data
actual_result = dst.data()
#print "actual result", actual_result
#print "expected result", expected_result
self.assertFloatTuplesAlmostEqual(expected_result, actual_result)
def test_symbol_demapper_16qam(self):
# set up fg
demapper = isdbt.symbol_demapper_1seg(mode=3, constellation_size=16)
"""src_data = ( \
-3.5 + 2.5j, -0.7 + 3.2j, 1.8 + 3.1j, 3.45 + 2.8j,
-3.8 + 1.0j, -0.9 + 0.1j, 0.5 + 1.2j, 2.22 + 1.0j,
-3.1 - 0.5j, -0.5 - 1.2j, 0.8 - 0.1j, 2.45 - 0.8j,
-2.8 - 3.1j, -1.5 - 2.1j, 1.5 - 2.2j, 3.32 - 3.0j) * 24
"""
src_syms = [
-3 + 3j, -1 + 3j, +1 + 3j, +3 + 3j, -3 + 1j, -1 + 1j, +1 + 1j,
+3 + 1j, -3 - 1j, -1 - 1j, +1 - 1j, +3 - 1j, -3 - 3j, -1 - 3j,
+1 - 3j, +3 - 3j
]
src_syms_noisy = [self.add_noise(z) for z in src_syms]
src_data = src_syms_noisy * 24
src_data = [x / math.sqrt(10.0) for x in src_data]
expected_result = ( \
8, 10, 2, 0,
9, 11, 3, 1,
13, 15, 7, 5,
12, 14, 6, 4) * 24
src = blocks.vector_source_c(src_data)
str_to_vec = blocks.stream_to_vector(gr.sizeof_gr_complex, 384)
vec_to_str = blocks.vector_to_stream(gr.sizeof_char, 384)
dst = blocks.vector_sink_b()
self.tb.connect(src, str_to_vec)
self.tb.connect(str_to_vec, demapper)
self.tb.connect(demapper, vec_to_str)
self.tb.connect(vec_to_str, dst)
self.tb.run()
# check data
actual_result = dst.data()
#print "actual result", actual_result
#print "expected result", expected_result
self.assertFloatTuplesAlmostEqual(expected_result, actual_result)
def test_symbol_demapper_16qam (self):
# set up fg
demapper = isdbt.symbol_demapper_1seg(mode=3,constellation_size=16)
"""src_data = ( \
-3.5 + 2.5j, -0.7 + 3.2j, 1.8 + 3.1j, 3.45 + 2.8j,
-3.8 + 1.0j, -0.9 + 0.1j, 0.5 + 1.2j, 2.22 + 1.0j,
-3.1 - 0.5j, -0.5 - 1.2j, 0.8 - 0.1j, 2.45 - 0.8j,
-2.8 - 3.1j, -1.5 - 2.1j, 1.5 - 2.2j, 3.32 - 3.0j) * 24
"""
src_syms = [
-3+3j, -1+3j, +1+3j, +3+3j,
-3+1j, -1+1j, +1+1j, +3+1j,
-3-1j, -1-1j, +1-1j, +3-1j,
-3-3j, -1-3j, +1-3j, +3-3j ]
src_syms_noisy = [self.add_noise(z) for z in src_syms]
src_data = src_syms_noisy * 24
src_data = [x / math.sqrt(10.0) for x in src_data]
expected_result = ( \
8, 10, 2, 0,
9, 11, 3, 1,
13, 15, 7, 5,
12, 14, 6, 4) * 24
src = blocks.vector_source_c(src_data)
str_to_vec = blocks.stream_to_vector(gr.sizeof_gr_complex,384)
vec_to_str = blocks.vector_to_stream(gr.sizeof_char,384)
dst = blocks.vector_sink_b()
self.tb.connect(src,str_to_vec)
self.tb.connect(str_to_vec,demapper)
self.tb.connect(demapper,vec_to_str)
self.tb.connect(vec_to_str,dst)
self.tb.run()
# check data
actual_result = dst.data()
#print "actual result", actual_result
#print "expected result", expected_result
self.assertFloatTuplesAlmostEqual(expected_result, actual_result)
def test_symbol_demapper_64qam(self):
# set up fg
demapper = isdbt.symbol_demapper_1seg(mode=3, constellation_size=64)
"""
src_data = (-7.5 + 7.5j, -5.7 + 7.2j, -3.8 + 6.1j, -0.45 + 6.8j,
-7.8 + 5.0j, -4.9 + 4.1j, -2.5 + 4.2j, -0.22 + 5.0j,
-7.1 + 3.5j, -4.5 + 2.2j, -2.8 + 2.1j, -1.45 + 3.8j,
-6.8 + 1.1j, -5.5 + 0.1j, -2.5 + 1.2j, -1.32 + 1.0j,
7.5 + 7.5j, 5.7 + 7.2j, 3.8 + 6.1j, 0.45 + 6.8j,
7.8 + 5.0j, 4.9 + 4.1j, 2.5 + 4.2j, 0.22 + 5.0j,
7.1 + 3.5j, 4.5 + 2.2j, 2.8 + 2.1j, 1.45 + 3.8j,
6.8 + 1.1j, 5.5 + 0.1j, 2.5 + 1.2j, 1.32 + 1.0j,
-7.5 - 7.5j, -5.7 - 7.2j, -3.8 - 6.1j, -0.45 - 6.8j,
-7.8 - 5.0j, -4.9 - 4.1j, -2.5 - 4.2j, -0.22 - 5.0j,
-7.1 - 3.5j, -4.5 - 2.2j, -2.8 - 2.1j, -1.45 - 3.8j,
-6.8 - 1.1j, -5.5 - 0.1j, -2.5 - 1.2j, -1.32 - 1.0j,
7.5 - 7.5j, 5.7 - 7.2j, 3.8 - 6.1j, 0.45 - 6.8j,
7.8 - 5.0j, 4.9 - 4.1j, 2.5 - 4.2j, 0.22 - 5.0j,
7.1 - 3.5j, 4.5 - 2.2j, 2.8 - 2.1j, 1.45 - 3.8j,
6.8 - 1.1j, 5.5 - 0.1j, 2.5 - 1.2j, 1.32 - 1.0j)*6
"""
src_syms = ( \
-7 + 7j, -5 + 7j, -3 + 7j, -1 + 7j,
-7 + 5j, -5 + 5j, -3 + 5j, -1 + 5j,
-7 + 3j, -5 + 3j, -3 + 3j, -1 + 3j,
-7 + 1j, -5 + 1j, -3 + 1j, -1 + 1j,
+7 + 7j, +5 + 7j, +3 + 7j, +1 + 7j,
+7 + 5j, +5 + 5j, +3 + 5j, +1 + 5j,
+7 + 3j, +5 + 3j, +3 + 3j, +1 + 3j,
+7 + 1j, +5 + 1j, +3 + 1j, +1 + 1j,
-7 - 7j, -5 - 7j, -3 - 7j, -1 - 7j,
-7 - 5j, -5 - 5j, -3 - 5j, -1 - 5j,
-7 - 3j, -5 - 3j, -3 - 3j, -1 - 3j,
-7 - 1j, -5 - 1j, -3 - 1j, -1 - 1j,
+7 - 7j, +5 - 7j, +3 - 7j, +1 - 7j,
+7 - 5j, +5 - 5j, +3 - 5j, +1 - 5j,
+7 - 3j, +5 - 3j, +3 - 3j, +1 - 3j,
+7 - 1j, +5 - 1j, +3 - 1j, +1 - 1j)
src_syms_noisy = [self.add_noise(z) for z in src_syms]
src_data = src_syms_noisy * 6
src_data = [x / math.sqrt(42.0) for x in src_data]
expected_result = ( \
32, 34, 42, 40,
33, 35, 43, 41,
37, 39, 47, 45,
36, 38, 46, 44,
0, 2, 10, 8,
1, 3, 11, 9,
5, 7, 15, 13,
4, 6, 14, 12,
48, 50, 58, 56,
49, 51, 59, 57,
53, 55, 63, 61,
52, 54, 62, 60,
16, 18, 26, 24,
17, 19, 27, 25,
21, 23, 31, 29,
20, 22, 30, 28) * 6
src = blocks.vector_source_c(src_data)
str_to_vec = blocks.stream_to_vector(gr.sizeof_gr_complex, 384)
vec_to_str = blocks.vector_to_stream(gr.sizeof_char, 384)
dst = blocks.vector_sink_b()
self.tb.connect(src, str_to_vec)
self.tb.connect(str_to_vec, demapper)
self.tb.connect(demapper, vec_to_str)
self.tb.connect(vec_to_str, dst)
self.tb.run()
# check data
actual_result = dst.data()
#print "actual result", actual_result
#print "expected result", expected_result
self.assertFloatTuplesAlmostEqual(expected_result, actual_result)
def test_symbol_demapper_64qam (self):
# set up fg
demapper = isdbt.symbol_demapper_1seg(mode=3, constellation_size=64)
"""
src_data = (-7.5 + 7.5j, -5.7 + 7.2j, -3.8 + 6.1j, -0.45 + 6.8j,
-7.8 + 5.0j, -4.9 + 4.1j, -2.5 + 4.2j, -0.22 + 5.0j,
-7.1 + 3.5j, -4.5 + 2.2j, -2.8 + 2.1j, -1.45 + 3.8j,
-6.8 + 1.1j, -5.5 + 0.1j, -2.5 + 1.2j, -1.32 + 1.0j,
7.5 + 7.5j, 5.7 + 7.2j, 3.8 + 6.1j, 0.45 + 6.8j,
7.8 + 5.0j, 4.9 + 4.1j, 2.5 + 4.2j, 0.22 + 5.0j,
7.1 + 3.5j, 4.5 + 2.2j, 2.8 + 2.1j, 1.45 + 3.8j,
6.8 + 1.1j, 5.5 + 0.1j, 2.5 + 1.2j, 1.32 + 1.0j,
-7.5 - 7.5j, -5.7 - 7.2j, -3.8 - 6.1j, -0.45 - 6.8j,
-7.8 - 5.0j, -4.9 - 4.1j, -2.5 - 4.2j, -0.22 - 5.0j,
-7.1 - 3.5j, -4.5 - 2.2j, -2.8 - 2.1j, -1.45 - 3.8j,
-6.8 - 1.1j, -5.5 - 0.1j, -2.5 - 1.2j, -1.32 - 1.0j,
7.5 - 7.5j, 5.7 - 7.2j, 3.8 - 6.1j, 0.45 - 6.8j,
7.8 - 5.0j, 4.9 - 4.1j, 2.5 - 4.2j, 0.22 - 5.0j,
7.1 - 3.5j, 4.5 - 2.2j, 2.8 - 2.1j, 1.45 - 3.8j,
6.8 - 1.1j, 5.5 - 0.1j, 2.5 - 1.2j, 1.32 - 1.0j)*6
"""
src_syms = ( \
-7 + 7j, -5 + 7j, -3 + 7j, -1 + 7j,
-7 + 5j, -5 + 5j, -3 + 5j, -1 + 5j,
-7 + 3j, -5 + 3j, -3 + 3j, -1 + 3j,
-7 + 1j, -5 + 1j, -3 + 1j, -1 + 1j,
+7 + 7j, +5 + 7j, +3 + 7j, +1 + 7j,
+7 + 5j, +5 + 5j, +3 + 5j, +1 + 5j,
+7 + 3j, +5 + 3j, +3 + 3j, +1 + 3j,
+7 + 1j, +5 + 1j, +3 + 1j, +1 + 1j,
-7 - 7j, -5 - 7j, -3 - 7j, -1 - 7j,
-7 - 5j, -5 - 5j, -3 - 5j, -1 - 5j,
-7 - 3j, -5 - 3j, -3 - 3j, -1 - 3j,
-7 - 1j, -5 - 1j, -3 - 1j, -1 - 1j,
+7 - 7j, +5 - 7j, +3 - 7j, +1 - 7j,
+7 - 5j, +5 - 5j, +3 - 5j, +1 - 5j,
+7 - 3j, +5 - 3j, +3 - 3j, +1 - 3j,
+7 - 1j, +5 - 1j, +3 - 1j, +1 - 1j)
src_syms_noisy = [self.add_noise(z) for z in src_syms]
src_data = src_syms_noisy * 6
src_data = [x / math.sqrt(42.0) for x in src_data]
expected_result = ( \
32, 34, 42, 40,
33, 35, 43, 41,
37, 39, 47, 45,
36, 38, 46, 44,
0, 2, 10, 8,
1, 3, 11, 9,
5, 7, 15, 13,
4, 6, 14, 12,
48, 50, 58, 56,
49, 51, 59, 57,
53, 55, 63, 61,
52, 54, 62, 60,
16, 18, 26, 24,
17, 19, 27, 25,
21, 23, 31, 29,
20, 22, 30, 28) * 6
src = blocks.vector_source_c(src_data)
str_to_vec = blocks.stream_to_vector(gr.sizeof_gr_complex,384)
vec_to_str = blocks.vector_to_stream(gr.sizeof_char,384)
dst = blocks.vector_sink_b()
self.tb.connect(src,str_to_vec)
self.tb.connect(str_to_vec,demapper)
self.tb.connect(demapper,vec_to_str)
self.tb.connect(vec_to_str,dst)
self.tb.run()
# check data
actual_result = dst.data()
#print "actual result", actual_result
#print "expected result", expected_result
self.assertFloatTuplesAlmostEqual(expected_result, actual_result)