def __init__(self, dab_params):
gr.hier_block2.__init__(
self,
"fic_encode",
gr.io_signature(1, 1, gr.sizeof_char),
# Input signature
gr.io_signature(1, 1, gr.sizeof_char))
# Output signature
self.dp = dab_params
# crc
self.unpacked_to_packed_crc = blocks.unpacked_to_packed_bb_make(
1, gr.GR_MSB_FIRST)
self.s2v_crc = blocks.stream_to_vector(gr.sizeof_char, 32)
self.crc16 = dab.crc16_bb(32, 0x1021, 0xffff)
self.v2s_crc = blocks.vector_to_stream(gr.sizeof_char, 32)
self.packed_to_unpacked_crc = blocks.packed_to_unpacked_bb_make(
1, gr.GR_MSB_FIRST)
# energy dispersal
self.prbs_src = blocks.vector_source_b(
self.dp.prbs(self.dp.energy_dispersal_fic_vector_length), True)
self.add_mod_2 = blocks.xor_bb()
# convolutional encoder
self.conv_pack = blocks.unpacked_to_packed_bb_make(1, gr.GR_MSB_FIRST)
self.conv_encoder = dab.conv_encoder_bb_make(
self.dp.energy_dispersal_fic_vector_length / 8)
self.conv_unpack = blocks.packed_to_unpacked_bb_make(
1, gr.GR_MSB_FIRST)
# puncturing
self.puncture = dab.puncture_bb_make(
self.dp.assembled_fic_puncturing_sequence)
# pack bits
self.unpacked_to_packed_encoded = blocks.unpacked_to_packed_bb_make(
1, gr.GR_MSB_FIRST)
# connect everything
self.connect((self, 0), self.unpacked_to_packed_crc, self.s2v_crc,
self.crc16, self.v2s_crc, self.packed_to_unpacked_crc,
(self.add_mod_2, 0), self.conv_pack, self.conv_encoder,
self.conv_unpack, self.puncture,
self.unpacked_to_packed_encoded, self)
#connect prbs
self.connect(self.prbs_src, (self.add_mod_2, 1))
def test_001_t (self):
log = gr.logger("log")
if os.path.exists("debug/rs_encoded.dat") and os.path.exists("debug/rs_encoded.dat"):
self.dp = dab.parameters.dab_parameters(1, 208.064e6, True)
# sources
self.fib_src = dab.fib_source_b_make(1, 1, 'Galaxy_News', 'Wasteland_Radio', 'Country_Mix01', 0x09, [2], [14])
self.fib_pack = blocks.unpacked_to_packed_bb_make(1, gr.GR_MSB_FIRST)
self.subch_src01 = blocks.file_source_make(gr.sizeof_char, "debug/rs_encoded.dat", True)
self.subch_src02 = blocks.file_source_make(gr.sizeof_char, "debug/rs_encoded_2.dat", True)
# encoder
self.fib_enc = dab.fic_encode(self.dp)
self.msc_encoder = dab.msc_encode(self.dp, 14, 2)
self.msc_encoder2 = dab.msc_encode(self.dp, 14, 2)
# multiplexer
self.mux = dab.dab_transmission_frame_mux_bb_make(1, 2, [84, 84])
# mapper
self.unpack = blocks.packed_to_unpacked_bb_make(1, gr.GR_MSB_FIRST)
self.map = dab.mapper_bc_make(self.dp.num_carriers)
# demapper
self.s2v = blocks.stream_to_vector_make(gr.sizeof_gr_complex, self.dp.num_carriers)
self.soft_interleaver = dab.complex_to_interleaved_float_vcf_make(self.dp.num_carriers)
# decode
self.fic_decoder = dab.fic_decode(self.dp)
self.msc_dec = dab.dabplus_audio_decoder_ff(self.dp, 112, 0, 84, 2, True)
# audio sink
self.audio = audio.sink_make(32000)
# control stream
self.trigger_src = blocks.vector_source_b([1] + [0] * 74, True)
# connect everything
self.tb.connect(self.fib_src, self.fib_enc, (self.mux, 0))
self.tb.connect(self.subch_src01, self.msc_encoder, (self.mux, 1))
self.tb.connect(self.subch_src02, self.msc_encoder2, (self.mux, 2))
self.tb.connect((self.mux, 0), self.unpack, self.map, self.s2v, self.soft_interleaver, (self.msc_dec, 0))
self.tb.connect(self.soft_interleaver, (self.fic_decoder, 0))
self.tb.connect(self.trigger_src, (self.fic_decoder, 1))
self.tb.connect(self.trigger_src, (self.msc_dec, 1))
self.tb.connect((self.msc_dec, 0), (self.audio, 0))
self.tb.connect((self.msc_dec, 1), (self.audio, 1))
self.tb.run ()
pass
else:
log.debug("debug file not found - skipped test")
log.set_level("WARN")
pass
def __init__(self, dab_params, address, size, protection, verbose=False, debug=False):
gr.hier_block2.__init__(self,
"msc_decode",
# Input signature
gr.io_signature(1, 1, gr.sizeof_float * dab_params.num_carriers * 2),
# Output signature
gr.io_signature(1, 1, gr.sizeof_char))
self.dp = dab_params
self.address = address
self.size = size
self.protect = protection
self.verbose = verbose
self.debug = debug
# calculate n factor (multiple of 8kbits etc.)
self.n = self.size / self.dp.subch_size_multiple_n[self.protect]
# calculate puncturing factors (EEP, table 33, 34)
self.msc_I = self.n * 192
if (self.n > 1 or self.protect != 1):
self.puncturing_L1 = [6 * self.n - 3, 2 * self.n - 3, 6 * self.n - 3, 4 * self.n - 3]
self.puncturing_L2 = [3, 4 * self.n + 3, 3, 2 * self.n + 3]
self.puncturing_PI1 = [24, 14, 8, 3]
self.puncturing_PI2 = [23, 13, 7, 2]
# calculate length of punctured codeword (11.3.2)
self.msc_punctured_codeword_length = self.puncturing_L1[self.protect] * 4 * self.dp.puncturing_vectors_ones[
self.puncturing_PI1[self.protect]] + self.puncturing_L2[self.protect] * 4 * \
self.dp.puncturing_vectors_ones[
self.puncturing_PI2[self.protect]] + 12
self.assembled_msc_puncturing_sequence = self.puncturing_L1[self.protect] * 4 * self.dp.puncturing_vectors[
self.puncturing_PI1[self.protect]] + self.puncturing_L2[self.protect] * 4 * self.dp.puncturing_vectors[
self.puncturing_PI2[self.protect]] + self.dp.puncturing_tail_vector
self.msc_conv_codeword_length = 4*self.msc_I + 24 # 4*I + 24 ()
# exception in table
else:
self.msc_punctured_codeword_length = 5 * 4 * self.dp.puncturing_vectors_ones[13] + 1 * 4 * \
self.dp.puncturing_vectors_ones[
12] + 12
#sanity check
assert(6*self.n == self.puncturing_L1[self.protect] + self.puncturing_L2[self.protect])
# MSC selection and block partitioning
# select OFDM carriers with MSC
self.select_msc_syms = grdab.select_vectors(gr.sizeof_float, self.dp.num_carriers * 2, self.dp.num_msc_syms,
self.dp.num_fic_syms)
# repartition MSC data in CIFs (left out due to heavy burden for scheduler and not really necessary)
#self.repartition_msc_to_CIFs = grdab.repartition_vectors_make(gr.sizeof_float, self.dp.num_carriers * 2,
# self.dp.cif_bits, self.dp.num_msc_syms,
# self.dp.num_cifs)
#repartition MSC to CUs
self.repartition_msc_to_cus = grdab.repartition_vectors_make(gr.sizeof_float, self.dp.num_carriers*2, self.dp.msc_cu_size, self.dp.num_msc_syms, self.dp.num_cus * self.dp.num_cifs)
# select CUs of one subchannel of each CIF and form logical frame vector
self.select_subch = grdab.select_subch_vfvf_make(self.dp.msc_cu_size, self.dp.msc_cu_size * self.size, self.address, self.dp.num_cus)
# time deinterleaving
self.time_v2s = blocks.vector_to_stream_make(gr.sizeof_float, self.dp.msc_cu_size * self.size)
self.time_deinterleaver = grdab.time_deinterleave_ff_make(self.dp.msc_cu_size * self.size, self.dp.scrambling_vector)
# unpuncture
self.conv_v2s = blocks.vector_to_stream(gr.sizeof_float, self.msc_punctured_codeword_length)
self.unpuncture = grdab.unpuncture_ff_make(self.assembled_msc_puncturing_sequence, 0)
# convolutional decoding
self.fsm = trellis.fsm(1, 4, [0133, 0171, 0145, 0133]) # OK (dumped to text and verified partially)
table = [
0, 0, 0, 0,
0, 0, 0, 1,
0, 0, 1, 0,
0, 0, 1, 1,
0, 1, 0, 0,
0, 1, 0, 1,
0, 1, 1, 0,
0, 1, 1, 1,
1, 0, 0, 0,
1, 0, 0, 1,
1, 0, 1, 0,
1, 0, 1, 1,
1, 1, 0, 0,
1, 1, 0, 1,
1, 1, 1, 0,
1, 1, 1, 1
]
assert (len(table) / 4 == self.fsm.O())
table = [(1 - 2 * x) / sqrt(2) for x in table]
self.conv_decode = trellis.viterbi_combined_fb(self.fsm, self.msc_I + self.dp.conv_code_add_bits_input, 0, 0, 4, table, trellis.TRELLIS_EUCLIDEAN)
self.conv_s2v = blocks.stream_to_vector(gr.sizeof_char, self.msc_I + self.dp.conv_code_add_bits_input)
self.conv_prune = grdab.prune(gr.sizeof_char, self.msc_conv_codeword_length / 4, 0,
self.dp.conv_code_add_bits_input)
#energy descramble
self.prbs_src = blocks.vector_source_b(self.dp.prbs(self.msc_I), True)
self.energy_v2s = blocks.vector_to_stream(gr.sizeof_char, self.msc_I)
self.add_mod_2 = blocks.xor_bb()
#self.energy_s2v = blocks.stream_to_vector(gr.sizeof_char, self.msc_I)
#pack bits
self.pack_bits = blocks.unpacked_to_packed_bb_make(1, gr.GR_MSB_FIRST)
# connect blocks
self.connect((self, 0),
(self.select_msc_syms),
#(self.repartition_msc_to_CIFs, 0),
(self.repartition_msc_to_cus),
(self.select_subch, 0),
#(self.repartition_cus_to_logical_frame, 0),
self.time_v2s,
self.time_deinterleaver,
#self.conv_v2s,
self.unpuncture,
self.conv_decode,
#self.conv_s2v,
self.conv_prune,
#self.energy_v2s,
self.add_mod_2,
self.pack_bits,
#self.energy_s2v, #better output stream or vector??
(self))
self.connect(self.prbs_src, (self.add_mod_2, 1))
#debug
if debug is True:
#msc_select_syms
self.sink_msc_select_syms = blocks.file_sink_make(gr.sizeof_float * self.dp.num_carriers * 2, "debug/msc_select_syms.dat")
self.connect(self.select_msc_syms, self.sink_msc_select_syms)
#msc repartition cus
self.sink_repartition_msc_to_cus = blocks.file_sink_make(gr.sizeof_float * self.dp.msc_cu_size, "debug/msc_repartitioned_to_cus.dat")
self.connect((self.repartition_msc_to_cus), self.sink_repartition_msc_to_cus)
#data of one sub channel not decoded
self.sink_select_subch = blocks.file_sink_make(gr.sizeof_float * self.dp.msc_cu_size * self.size, "debug/select_subch.dat")
self.connect(self.select_subch, self.sink_select_subch)
#sub channel time_deinterleaved
self.sink_subch_time_deinterleaved = blocks.file_sink_make(gr.sizeof_float, "debug/subch_time_deinterleaved.dat")
self.connect(self.time_deinterleaver, self.sink_subch_time_deinterleaved)
#sub channel unpunctured
self.sink_subch_unpunctured = blocks.file_sink_make(gr.sizeof_float, "debug/subch_unpunctured.dat")
self.connect(self.unpuncture, self.sink_subch_unpunctured)
# sub channel convolutional decoded
self.sink_subch_decoded = blocks.file_sink_make(gr.sizeof_char, "debug/subch_decoded.dat")
self.connect(self.conv_decode, self.sink_subch_decoded)
# sub channel convolutional decoded
self.sink_subch_pruned = blocks.file_sink_make(gr.sizeof_char, "debug/subch_pruned.dat")
self.connect(self.conv_prune, self.sink_subch_pruned)
# sub channel energy dispersal undone unpacked
self.sink_subch_energy_disp_undone = blocks.file_sink_make(gr.sizeof_char, "debug/subch_energy_disp_undone_unpacked.dat")
self.connect(self.add_mod_2, self.sink_subch_energy_disp_undone)
# sub channel energy dispersal undone packed
self.sink_subch_energy_disp_undone_packed = blocks.file_sink_make(gr.sizeof_char, "debug/subch_energy_disp_undone_packed.dat")
self.connect(self.pack_bits, self.sink_subch_energy_disp_undone_packed)
def __init__(self, dab_params, data_rate_n, protection):
gr.hier_block2.__init__(self,
"msc_encode",
gr.io_signature(1, 1, gr.sizeof_char), # Input signature
gr.io_signature(1, 1, gr.sizeof_char)) # Output signature
self.dp = dab_params
self.n = data_rate_n
self.msc_I = self.n * 192
self.protect = protection
# unpack
self.unpack = blocks.packed_to_unpacked_bb_make(1, gr.GR_MSB_FIRST)
# energy dispersal
self.prbs_src = blocks.vector_source_b(self.dp.prbs(self.msc_I), True)
self.add_mod_2 = blocks.xor_bb()
# convolutional encoder
self.conv_pack = blocks.unpacked_to_packed_bb_make(1, gr.GR_MSB_FIRST)
self.conv_encoder = dab.conv_encoder_bb_make(self.msc_I / 8)
self.conv_unpack = blocks.packed_to_unpacked_bb_make(1, gr.GR_MSB_FIRST)
# calculate puncturing factors (EEP, table 33, 34)
if (self.n > 1 or self.protect != 1):
self.puncturing_L1 = [6 * self.n - 3, 2 * self.n - 3, 6 * self.n - 3, 4 * self.n - 3]
self.puncturing_L2 = [3, 4 * self.n + 3, 3, 2 * self.n + 3]
self.puncturing_PI1 = [24, 14, 8, 3]
self.puncturing_PI2 = [23, 13, 7, 2]
# calculate length of punctured codeword (11.3.2)
self.msc_punctured_codeword_length = self.puncturing_L1[self.protect] * 4 * self.dp.puncturing_vectors_ones[
self.puncturing_PI1[self.protect]] + self.puncturing_L2[self.protect] * 4 * \
self.dp.puncturing_vectors_ones[
self.puncturing_PI2[self.protect]] + 12
self.assembled_msc_puncturing_sequence = self.puncturing_L1[self.protect] * 4 * self.dp.puncturing_vectors[
self.puncturing_PI1[self.protect]] + self.puncturing_L2[self.protect] * 4 * self.dp.puncturing_vectors[
self.puncturing_PI2[self.protect]] + self.dp.puncturing_tail_vector
self.msc_conv_codeword_length = 4 * self.msc_I + 24 # 4*I + 24 ()
# exception in table
else:
self.msc_punctured_codeword_length = 5 * 4 * self.dp.puncturing_vectors_ones[13] + 1 * 4 * \
self.dp.puncturing_vectors_ones[
12] + 12
# sanity check
assert (6 * self.n == self.puncturing_L1[self.protect] + self.puncturing_L2[self.protect])
# puncturing
self.puncture = dab.puncture_bb_make(self.assembled_msc_puncturing_sequence)
# time interleaving
self.s2v_time_interleave = blocks.stream_to_vector_make(gr.sizeof_char, self.msc_punctured_codeword_length)
self.time_interleaver = dab.time_interleave_bb_make(self.msc_punctured_codeword_length, self.dp.scrambling_vector)
self.v2s_time_interleave = blocks.vector_to_stream_make(gr.sizeof_char, self.msc_punctured_codeword_length)
# pack bits
self.unpacked_to_packed_encoded = blocks.unpacked_to_packed_bb_make(1, gr.GR_MSB_FIRST)
# connect everything
self.connect(self,
self.unpack,
self.add_mod_2,
self.conv_pack,
self.conv_encoder,
self.conv_unpack,
self.puncture,
self.s2v_time_interleave,
self.time_interleaver,
self.v2s_time_interleave,
self.unpacked_to_packed_encoded,
self)
# connect prbs
self.connect(self.prbs_src, (self.add_mod_2, 1))
def __init__(self,
dab_params,
address,
size,
protection,
verbose=False,
debug=False):
gr.hier_block2.__init__(
self,
"msc_decode",
# Input signature
gr.io_signature(1, 1,
gr.sizeof_float * dab_params.num_carriers * 2),
# Output signature
gr.io_signature(1, 1, gr.sizeof_char))
self.dp = dab_params
self.address = address
self.size = size
self.protect = protection
self.verbose = verbose
self.debug = debug
# calculate n factor (multiple of 8kbits etc.)
self.n = self.size / self.dp.subch_size_multiple_n[self.protect]
# calculate puncturing factors (EEP, table 33, 34)
self.msc_I = self.n * 192
if (self.n > 1 or self.protect != 1):
self.puncturing_L1 = [
6 * self.n - 3, 2 * self.n - 3, 6 * self.n - 3, 4 * self.n - 3
]
self.puncturing_L2 = [3, 4 * self.n + 3, 3, 2 * self.n + 3]
self.puncturing_PI1 = [24, 14, 8, 3]
self.puncturing_PI2 = [23, 13, 7, 2]
# calculate length of punctured codeword (11.3.2)
self.msc_punctured_codeword_length = self.puncturing_L1[self.protect] * 4 * self.dp.puncturing_vectors_ones[
self.puncturing_PI1[self.protect]] + self.puncturing_L2[self.protect] * 4 * \
self.dp.puncturing_vectors_ones[
self.puncturing_PI2[self.protect]] + 12
self.assembled_msc_puncturing_sequence = int(self.puncturing_L1[
self.protect]) * 4 * self.dp.puncturing_vectors[
self.puncturing_PI1[self.protect]] + int(
self.puncturing_L2[self.protect]
) * 4 * self.dp.puncturing_vectors[self.puncturing_PI2[
self.protect]] + self.dp.puncturing_tail_vector
self.msc_conv_codeword_length = 4 * self.msc_I + 24 # 4*I + 24 ()
# exception in table
else:
self.msc_punctured_codeword_length = 5 * 4 * self.dp.puncturing_vectors_ones[13] + 1 * 4 * \
self.dp.puncturing_vectors_ones[
12] + 12
#sanity check
assert (6 * self.n == self.puncturing_L1[self.protect] +
self.puncturing_L2[self.protect])
# MSC selection and block partitioning
# select OFDM carriers with MSC
self.select_msc_syms = grdab.select_vectors(gr.sizeof_float,
self.dp.num_carriers * 2,
self.dp.num_msc_syms,
self.dp.num_fic_syms)
# repartition MSC data in CIFs (left out due to heavy burden for scheduler and not really necessary)
#self.repartition_msc_to_CIFs = grdab.repartition_vectors_make(gr.sizeof_float, self.dp.num_carriers * 2,
# self.dp.cif_bits, self.dp.num_msc_syms,
# self.dp.num_cifs)
#repartition MSC to CUs
self.repartition_msc_to_cus = grdab.repartition_vectors_make(
gr.sizeof_float, self.dp.num_carriers * 2, self.dp.msc_cu_size,
self.dp.num_msc_syms, self.dp.num_cus * self.dp.num_cifs)
# select CUs of one subchannel of each CIF and form logical frame vector
self.select_subch = grdab.select_subch_vfvf_make(
self.dp.msc_cu_size, self.dp.msc_cu_size * self.size, self.address,
self.dp.num_cus)
# time deinterleaving
self.time_v2s = blocks.vector_to_stream_make(
gr.sizeof_float, self.dp.msc_cu_size * self.size)
self.time_deinterleaver = grdab.time_deinterleave_ff_make(
self.dp.msc_cu_size * self.size, self.dp.scrambling_vector)
# unpuncture
self.conv_v2s = blocks.vector_to_stream(
gr.sizeof_float, self.msc_punctured_codeword_length)
self.unpuncture = grdab.unpuncture_ff_make(
self.assembled_msc_puncturing_sequence, 0)
# convolutional decoding
self.fsm = trellis.fsm(
1, 4, [0o133, 0o171, 0o145, 0o133
]) # OK (dumped to text and verified partially)
table = [
0, 0, 0, 0, 0, 0, 0, 1, 0, 0, 1, 0, 0, 0, 1, 1, 0, 1, 0, 0, 0, 1,
0, 1, 0, 1, 1, 0, 0, 1, 1, 1, 1, 0, 0, 0, 1, 0, 0, 1, 1, 0, 1, 0,
1, 0, 1, 1, 1, 1, 0, 0, 1, 1, 0, 1, 1, 1, 1, 0, 1, 1, 1, 1
]
assert (len(table) / 4 == self.fsm.O())
table = [(1 - 2 * x) / sqrt(2) for x in table]
self.conv_decode = trellis.viterbi_combined_fb(
self.fsm, self.msc_I + self.dp.conv_code_add_bits_input, 0, 0, 4,
table, trellis.TRELLIS_EUCLIDEAN)
self.conv_s2v = blocks.stream_to_vector(
gr.sizeof_char, self.msc_I + self.dp.conv_code_add_bits_input)
self.conv_prune = grdab.prune(gr.sizeof_char,
self.msc_conv_codeword_length / 4, 0,
self.dp.conv_code_add_bits_input)
#energy descramble
self.prbs_src = blocks.vector_source_b(self.dp.prbs(int(self.msc_I)),
True)
self.energy_v2s = blocks.vector_to_stream(gr.sizeof_char, self.msc_I)
self.add_mod_2 = blocks.xor_bb()
#self.energy_s2v = blocks.stream_to_vector(gr.sizeof_char, self.msc_I)
#pack bits
self.pack_bits = blocks.unpacked_to_packed_bb_make(1, gr.GR_MSB_FIRST)
# connect blocks
self.connect(
(self, 0),
(self.select_msc_syms),
#(self.repartition_msc_to_CIFs, 0),
(self.repartition_msc_to_cus),
(self.select_subch, 0),
#(self.repartition_cus_to_logical_frame, 0),
self.time_v2s,
self.time_deinterleaver,
#self.conv_v2s,
self.unpuncture,
self.conv_decode,
#self.conv_s2v,
self.conv_prune,
#self.energy_v2s,
self.add_mod_2,
self.pack_bits,
#self.energy_s2v, #better output stream or vector??
(self))
self.connect(self.prbs_src, (self.add_mod_2, 1))
#debug
if debug is True:
#msc_select_syms
self.sink_msc_select_syms = blocks.file_sink_make(
gr.sizeof_float * self.dp.num_carriers * 2,
"debug/msc_select_syms.dat")
self.connect(self.select_msc_syms, self.sink_msc_select_syms)
#msc repartition cus
self.sink_repartition_msc_to_cus = blocks.file_sink_make(
gr.sizeof_float * self.dp.msc_cu_size,
"debug/msc_repartitioned_to_cus.dat")
self.connect((self.repartition_msc_to_cus),
self.sink_repartition_msc_to_cus)
#data of one sub channel not decoded
self.sink_select_subch = blocks.file_sink_make(
gr.sizeof_float * self.dp.msc_cu_size * self.size,
"debug/select_subch.dat")
self.connect(self.select_subch, self.sink_select_subch)
#sub channel time_deinterleaved
self.sink_subch_time_deinterleaved = blocks.file_sink_make(
gr.sizeof_float, "debug/subch_time_deinterleaved.dat")
self.connect(self.time_deinterleaver,
self.sink_subch_time_deinterleaved)
#sub channel unpunctured
self.sink_subch_unpunctured = blocks.file_sink_make(
gr.sizeof_float, "debug/subch_unpunctured.dat")
self.connect(self.unpuncture, self.sink_subch_unpunctured)
# sub channel convolutional decoded
self.sink_subch_decoded = blocks.file_sink_make(
gr.sizeof_char, "debug/subch_decoded.dat")
self.connect(self.conv_decode, self.sink_subch_decoded)
# sub channel convolutional decoded
self.sink_subch_pruned = blocks.file_sink_make(
gr.sizeof_char, "debug/subch_pruned.dat")
self.connect(self.conv_prune, self.sink_subch_pruned)
# sub channel energy dispersal undone unpacked
self.sink_subch_energy_disp_undone = blocks.file_sink_make(
gr.sizeof_char, "debug/subch_energy_disp_undone_unpacked.dat")
self.connect(self.add_mod_2, self.sink_subch_energy_disp_undone)
# sub channel energy dispersal undone packed
self.sink_subch_energy_disp_undone_packed = blocks.file_sink_make(
gr.sizeof_char, "debug/subch_energy_disp_undone_packed.dat")
self.connect(self.pack_bits,
self.sink_subch_energy_disp_undone_packed)