def __init__(self, decoder_list_0, input_size, output_size):
gr.hier_block2.__init__(
self, "Threaded Decoder",
gr.io_signature(1, 1, input_size*1),
gr.io_signature(1, 1, output_size*1))
self.decoder_list_0 = decoder_list_0
self.deinterleave_0 = blocks.deinterleave(input_size,
fec.get_decoder_input_size(decoder_list_0[0]))
self.generic_decoders_0 = []
for i in range(len(decoder_list_0)):
self.generic_decoders_0.append(fec.decoder(decoder_list_0[i],
input_size, output_size))
self.interleave_0 = blocks.interleave(output_size,
fec.get_decoder_output_size(decoder_list_0[0]))
for i in range(len(decoder_list_0)):
self.connect((self.deinterleave_0, i), (self.generic_decoders_0[i], 0))
for i in range(len(decoder_list_0)):
self.connect((self.generic_decoders_0[i], 0), (self.interleave_0, i))
self.connect((self, 0), (self.deinterleave_0, 0))
self.connect((self.interleave_0, 0), (self, 0))
def __init__(self, decoder_list_0, input_size, output_size):
gr.hier_block2.__init__(self, "Capillary Threaded Decoder",
gr.io_signature(1, 1, input_size * 1),
gr.io_signature(1, 1, output_size * 1))
self.decoder_list_0 = decoder_list_0
check = math.log10(len(self.decoder_list_0)) / math.log10(2.0)
if (abs(check - int(check)) > 0):
gr.log.info(
"fec.capillary_threaded_decoder: number of decoders must be a power of 2."
)
raise AttributeError
self.deinterleaves_0 = []
for i in range(int(math.log(len(decoder_list_0), 2))):
for j in range(int(math.pow(2, i))):
self.deinterleaves_0.append(
blocks.deinterleave(
input_size,
fec.get_decoder_input_size(decoder_list_0[0])))
self.generic_decoders_0 = []
for i in range(len(decoder_list_0)):
self.generic_decoders_0.append(
fec.decoder(decoder_list_0[i], input_size, output_size))
self.interleaves_0 = []
for i in range(int(math.log(len(decoder_list_0), 2))):
for j in range(int(math.pow(2, i))):
self.interleaves_0.append(
blocks.interleave(
output_size,
fec.get_decoder_output_size(decoder_list_0[0])))
rootcount = 0
branchcount = 1
for i in range(int(math.log(len(decoder_list_0), 2)) - 1):
for j in range(int(math.pow(2, i))):
self.connect((self.deinterleaves_0[rootcount], 0),
(self.deinterleaves_0[branchcount], 0))
self.connect((self.deinterleaves_0[rootcount], 1),
(self.deinterleaves_0[branchcount + 1], 0))
rootcount += 1
branchcount += 2
codercount = 0
for i in range(len(decoder_list_0) / 2):
self.connect((self.deinterleaves_0[rootcount], 0),
(self.generic_decoders_0[codercount], 0))
self.connect((self.deinterleaves_0[rootcount], 1),
(self.generic_decoders_0[codercount + 1], 0))
rootcount += 1
codercount += 2
rootcount = 0
branchcount = 1
for i in range(int(math.log(len(decoder_list_0), 2)) - 1):
for j in range(int(math.pow(2, i))):
self.connect((self.interleaves_0[branchcount], 0),
(self.interleaves_0[rootcount], 0))
self.connect((self.interleaves_0[branchcount + 1], 0),
(self.interleaves_0[rootcount], 1))
rootcount += 1
branchcount += 2
codercount = 0
for i in range(len(decoder_list_0) / 2):
self.connect((self.generic_decoders_0[codercount], 0),
(self.interleaves_0[rootcount], 0))
self.connect((self.generic_decoders_0[codercount + 1], 0),
(self.interleaves_0[rootcount], 1))
rootcount += 1
codercount += 2
if ((len(self.decoder_list_0)) > 1):
self.connect((self, 0), (self.deinterleaves_0[0], 0))
self.connect((self.interleaves_0[0], 0), (self, 0))
else:
self.connect((self, 0), (self.generic_decoders_0[0], 0))
self.connect((self.generic_decoders_0[0], 0), (self, 0))
def __init__(self, decoder_list_0, input_size, output_size):
gr.hier_block2.__init__(
self, "Capillary Threaded Decoder",
gr.io_signature(1, 1, input_size*1),
gr.io_signature(1, 1, output_size*1))
self.decoder_list_0 = decoder_list_0
check = math.log10(len(self.decoder_list_0)) / math.log10(2.0)
if(abs(check - int(check)) > 0):
gr.log.info("fec.capillary_threaded_decoder: number of decoders must be a power of 2.")
raise AttributeError
self.deinterleaves_0 = []
for i in range(int(math.log(len(decoder_list_0), 2))):
for j in range(int(math.pow(2, i))):
self.deinterleaves_0.append(blocks.deinterleave(input_size,
fec.get_decoder_input_size(decoder_list_0[0])))
self.generic_decoders_0 = []
for i in range(len(decoder_list_0)):
self.generic_decoders_0.append(fec.decoder(decoder_list_0[i], input_size, output_size))
self.interleaves_0 = []
for i in range(int(math.log(len(decoder_list_0), 2))):
for j in range(int(math.pow(2, i))):
self.interleaves_0.append(blocks.interleave(output_size,
fec.get_decoder_output_size(decoder_list_0[0])))
rootcount = 0
branchcount = 1
for i in range(int(math.log(len(decoder_list_0), 2)) - 1):
for j in range(int(math.pow(2, i))):
self.connect((self.deinterleaves_0[rootcount], 0), (self.deinterleaves_0[branchcount], 0))
self.connect((self.deinterleaves_0[rootcount], 1), (self.deinterleaves_0[branchcount + 1], 0))
rootcount += 1
branchcount += 2
codercount = 0
for i in range(len(decoder_list_0)/2):
self.connect((self.deinterleaves_0[rootcount], 0), (self.generic_decoders_0[codercount], 0))
self.connect((self.deinterleaves_0[rootcount], 1), (self.generic_decoders_0[codercount + 1], 0))
rootcount += 1
codercount += 2
rootcount = 0
branchcount = 1
for i in range(int(math.log(len(decoder_list_0), 2)) - 1):
for j in range(int(math.pow(2, i))):
self.connect((self.interleaves_0[branchcount], 0), (self.interleaves_0[rootcount], 0))
self.connect((self.interleaves_0[branchcount + 1], 0), (self.interleaves_0[rootcount], 1))
rootcount += 1
branchcount += 2
codercount = 0
for i in range(len(decoder_list_0)/2):
self.connect((self.generic_decoders_0[codercount], 0), (self.interleaves_0[rootcount], 0))
self.connect((self.generic_decoders_0[codercount + 1], 0), (self.interleaves_0[rootcount], 1))
rootcount += 1
codercount += 2
if ((len(self.decoder_list_0)) > 1):
self.connect((self, 0), (self.deinterleaves_0[0], 0))
self.connect((self.interleaves_0[0], 0), (self, 0))
else:
self.connect((self, 0), (self.generic_decoders_0[0], 0))
self.connect((self.generic_decoders_0[0], 0), (self, 0))
