def __init__(self):
gr.top_block.__init__(self)
##################################################
# Variables
##################################################
self.sigma = sigma = 0.4
self.max_iterations = max_iterations = 50
self.alist_file = alist_file = "/home/manu/repos/ldpc/gr-ldpc/python/alist-files/96.3.963"
self.samp_rate = samp_rate = 32000
self.encoder = _encoder = ldpc_encoder_bf(alist_file)
self.decoder = _decoder = ldpc_decoder_fb(alist_file, sigma, max_iterations)
##################################################
# Blocks
##################################################
self.generic_encoder_0 = fec.encoder(_encoder, gr.sizeof_char, gr.sizeof_float)
self.generic_decoder_0 = fec.decoder(_decoder, gr.sizeof_float, gr.sizeof_char)
self.blocks_file_source_0 = blocks.file_source(gr.sizeof_char*1, "/home/manu/Downloads/in.flac", False)
self.blocks_file_sink_0 = blocks.file_sink(gr.sizeof_char*1, "/home/manu/Downloads/out.flac")
self.blocks_file_sink_0.set_unbuffered(False)
self.blocks_add_xx_0 = blocks.add_vff(1)
self.analog_noise_source_x_0 = analog.noise_source_f(analog.GR_GAUSSIAN, 0, 0)
##################################################
# Connections
##################################################
self.connect((self.analog_noise_source_x_0, 0), (self.blocks_add_xx_0, 1))
self.connect((self.blocks_file_source_0, 0), (self.generic_encoder_0, 0))
self.connect((self.generic_encoder_0, 0), (self.blocks_add_xx_0, 0))
self.connect((self.blocks_add_xx_0, 0), (self.generic_decoder_0, 0))
self.connect((self.generic_decoder_0, 0), (self.blocks_file_sink_0, 0))
def __init__(self, encoder_obj_list, threading, puncpat=None):
gr.hier_block2.__init__(
self, "extended_encoder_interface",
gr.io_signature(1, 1, gr.sizeof_char),
gr.io_signature(1, 1, gr.sizeof_float)
)
self.blocks=[];
self.puncpat=puncpat;
if threading == 'capillary':
self.blocks.append(capillary_threaded_encoder(encoder_obj_list))
elif threading == 'ordinary':
self.blocks.append(threaded_encoder(encoder_obj_list))
else:
self.blocks.append(fec.encoder(encoder_obj_list[0]))
if self.puncpat != '11':
self.blocks.append(fec.puncture_ff(0, read_bitlist(puncpat), puncpat.count('0'), len(puncpat)));
self.connect((self, 0), (self.blocks[0], 0));
self.connect((self.blocks[-1], 0), (self, 0));
for i in range(len(self.blocks) - 1):
self.connect((self.blocks[i], 0), (self.blocks[i+1], 0));
def __init__(self):
grc_wxgui.top_block_gui.__init__(self, title="Top Block")
_icon_path = "/usr/share/icons/hicolor/32x32/apps/gnuradio-grc.png"
self.SetIcon(wx.Icon(_icon_path, wx.BITMAP_TYPE_ANY))
##################################################
# Variables
##################################################
self.sigma = sigma = 0.4
self.max_iterations = max_iterations = 50
self.alist_file = alist_file = "/home/manu/repos/ldpc/gr-ldpc/python/alist-files/96.3.963"
self.samp_rate = samp_rate = 32000
self.encoder = encoder = ldpc_encoder_bf(alist_file)
self.decoder = decoder = ldpc_decoder_fb(alist_file, sigma, max_iterations)
##################################################
# Blocks
##################################################
self.generic_encoder_0 = fec.encoder(encoder, gr.sizeof_char, gr.sizeof_float)
self.generic_decoder_0 = fec.decoder(decoder, gr.sizeof_float, gr.sizeof_char)
self.blocks_file_source_0 = blocks.file_source(gr.sizeof_char*1, "/home/manu/Downloads/in.flac", False)
self.blocks_file_sink_0 = blocks.file_sink(gr.sizeof_char*1, "/home/manu/Downloads/out.flac")
self.blocks_file_sink_0.set_unbuffered(False)
self.blocks_add_xx_0 = blocks.add_vff(1)
self.analog_noise_source_x_0 = analog.noise_source_f(analog.GR_GAUSSIAN, 0, 0)
##################################################
# Connections
##################################################
self.connect((self.analog_noise_source_x_0, 0), (self.blocks_add_xx_0, 1))
self.connect((self.blocks_file_source_0, 0), (self.generic_encoder_0, 0))
self.connect((self.generic_encoder_0, 0), (self.blocks_add_xx_0, 0))
self.connect((self.blocks_add_xx_0, 0), (self.generic_decoder_0, 0))
self.connect((self.generic_decoder_0, 0), (self.blocks_file_sink_0, 0))
def __init__(self, encoder_list_0, input_size, output_size):
gr.hier_block2.__init__(
self,
"Threaded Encoder",
gr.io_signature(1, 1, input_size * 1),
gr.io_signature(1, 1, output_size * 1),
)
##################################################
# Parameters
##################################################
self.encoder_list_0 = encoder_list_0
##################################################
# Variables
##################################################
##################################################
# Blocks
##################################################
self.fec_deinterleave_0 = fec.deinterleave(
input_size, fec.get_encoder_input_size(encoder_list_0[0]))
self.generic_encoders_0 = []
for i in range(len(encoder_list_0)):
self.generic_encoders_0.append(
fec.encoder(encoder_list_0[i], input_size, output_size))
self.fec_interleave_0 = fec.interleave(
output_size, fec.get_encoder_output_size(encoder_list_0[0]))
##################################################
# Connections
##################################################
for i in range(len(encoder_list_0)):
self.connect((self.fec_deinterleave_0, i),
(self.generic_encoders_0[i], 0))
for i in range(len(encoder_list_0)):
self.connect((self.generic_encoders_0[i], 0),
(self.fec_interleave_0, i))
self.connect((self, 0), (self.fec_deinterleave_0, 0))
self.connect((self.fec_interleave_0, 0), (self, 0))
def __init__(self, encoder_list_0, input_size, output_size): gr.hier_block2.__init__( self, "Threaded Encoder", gr.io_signature(1, 1, input_size*1), gr.io_signature(1, 1, output_size*1), ) ################################################## # Parameters ################################################## self.encoder_list_0 = encoder_list_0 ################################################## # Variables ################################################## ################################################## # Blocks ################################################## self.fec_deinterleave_0 = fec.deinterleave(input_size, fec.get_encoder_input_size(encoder_list_0[0])) self.generic_encoders_0 = []; for i in range(len(encoder_list_0)): self.generic_encoders_0.append(fec.encoder(encoder_list_0[i], input_size, output_size)) self.fec_interleave_0 = fec.interleave(output_size, fec.get_encoder_output_size(encoder_list_0[0])) ################################################## # Connections ################################################## for i in range(len(encoder_list_0)): self.connect((self.fec_deinterleave_0, i), (self.generic_encoders_0[i], 0)) for i in range(len(encoder_list_0)): self.connect((self.generic_encoders_0[i], 0), (self.fec_interleave_0, i)) self.connect((self, 0), (self.fec_deinterleave_0, 0)) self.connect((self.fec_interleave_0, 0), (self, 0))
def __init__(self, encoder_obj_list, threading, puncpat=None):
gr.hier_block2.__init__(self, "extended_encoder_interface",
gr.io_signature(1, 1, gr.sizeof_char),
gr.io_signature(1, 1, gr.sizeof_float))
self.blocks = []
self.puncpat = puncpat
if threading == 'capillary':
self.blocks.append(capillary_threaded_encoder(encoder_obj_list))
elif threading == 'ordinary':
self.blocks.append(threaded_encoder(encoder_obj_list))
else:
self.blocks.append(fec.encoder(encoder_obj_list[0]))
if self.puncpat != '11':
self.blocks.append(
fec.puncture_ff(0, read_bitlist(puncpat), puncpat.count('0'),
len(puncpat)))
self.connect((self, 0), (self.blocks[0], 0))
self.connect((self.blocks[-1], 0), (self, 0))
for i in range(len(self.blocks) - 1):
self.connect((self.blocks[i], 0), (self.blocks[i + 1], 0))
def __init__(self,
encoder_list_0,
input_size=gr.sizeof_char,
output_size=gr.sizeof_float):
gr.hier_block2.__init__(
self,
"Capillary Threaded Encoder",
gr.io_signature(1, 1, input_size),
gr.io_signature(1, 1, output_size),
)
##################################################
# Parameters
##################################################
self.encoder_list_0 = encoder_list_0
##################################################
# Variables
##################################################
##################################################
# Blocks
##################################################
self.fec_deinterleaves_0 = []
for i in range(int(math.log(len(encoder_list_0), 2))):
for j in range(int(math.pow(2, i))):
self.fec_deinterleaves_0.append(
fec.deinterleave(
input_size,
fec.get_encoder_input_size(encoder_list_0[0])))
self.generic_encoders_0 = []
for i in range(len(encoder_list_0)):
self.generic_encoders_0.append(
fec.encoder(encoder_list_0[i], input_size, output_size))
self.fec_interleaves_0 = []
for i in range(int(math.log(len(encoder_list_0), 2))):
for j in range(int(math.pow(2, i))):
self.fec_interleaves_0.append(
fec.interleave(
output_size,
fec.get_encoder_output_size(encoder_list_0[0])))
##################################################
# Connections
##################################################
rootcount = 0
branchcount = 1
for i in range(int(math.log(len(encoder_list_0), 2)) - 1):
for j in range(int(math.pow(2, i))):
self.connect((self.fec_deinterleaves_0[rootcount], 0),
(self.fec_deinterleaves_0[branchcount], 0))
self.connect((self.fec_deinterleaves_0[rootcount], 1),
(self.fec_deinterleaves_0[branchcount + 1], 0))
rootcount += 1
branchcount += 2
codercount = 0
for i in range(len(encoder_list_0) / 2):
self.connect((self.fec_deinterleaves_0[rootcount], 0),
(self.generic_encoders_0[codercount], 0))
self.connect((self.fec_deinterleaves_0[rootcount], 1),
(self.generic_encoders_0[codercount + 1], 0))
rootcount += 1
codercount += 2
rootcount = 0
branchcount = 1
for i in range(int(math.log(len(encoder_list_0), 2)) - 1):
for j in range(int(math.pow(2, i))):
self.connect((self.fec_interleaves_0[branchcount], 0),
(self.fec_interleaves_0[rootcount], 0))
self.connect((self.fec_interleaves_0[branchcount + 1], 0),
(self.fec_interleaves_0[rootcount], 1))
rootcount += 1
branchcount += 2
codercount = 0
for i in range(len(encoder_list_0) / 2):
self.connect((self.generic_encoders_0[codercount], 0),
(self.fec_interleaves_0[rootcount], 0))
self.connect((self.generic_encoders_0[codercount + 1], 0),
(self.fec_interleaves_0[rootcount], 1))
rootcount += 1
codercount += 2
if ((len(self.encoder_list_0)) > 1):
self.connect((self, 0), (self.fec_deinterleaves_0[0], 0))
self.connect((self.fec_interleaves_0[0], 0), (self, 0))
else:
self.connect((self, 0), (self.generic_encoders_0[0], 0))
self.connect((self.generic_encoders_0[0], 0), (self, 0))
def __init__(self, encoder_list_0, input_size=gr.sizeof_char, output_size=gr.sizeof_float): gr.hier_block2.__init__( self, "Capillary Threaded Encoder", gr.io_signature(1, 1, input_size), gr.io_signature(1, 1, output_size), ) ################################################## # Parameters ################################################## self.encoder_list_0 = encoder_list_0 ################################################## # Variables ################################################## ################################################## # Blocks ################################################## self.fec_deinterleaves_0 = []; for i in range(int(math.log(len(encoder_list_0), 2))): for j in range(int(math.pow(2, i))): self.fec_deinterleaves_0.append(fec.deinterleave(input_size, fec.get_encoder_input_size(encoder_list_0[0]))) self.generic_encoders_0 = []; for i in range(len(encoder_list_0)): self.generic_encoders_0.append(fec.encoder(encoder_list_0[i], input_size, output_size)) self.fec_interleaves_0 = []; for i in range(int(math.log(len(encoder_list_0), 2))): for j in range(int(math.pow(2, i))): self.fec_interleaves_0.append(fec.interleave(output_size, fec.get_encoder_output_size(encoder_list_0[0]))) ################################################## # Connections ################################################## rootcount = 0; branchcount = 1; for i in range(int(math.log(len(encoder_list_0), 2)) - 1): for j in range(int(math.pow(2, i))): self.connect((self.fec_deinterleaves_0[rootcount], 0), (self.fec_deinterleaves_0[branchcount], 0)) self.connect((self.fec_deinterleaves_0[rootcount], 1), (self.fec_deinterleaves_0[branchcount + 1], 0)) rootcount += 1; branchcount += 2; codercount = 0; for i in range(len(encoder_list_0)/2): self.connect((self.fec_deinterleaves_0[rootcount], 0), (self.generic_encoders_0[codercount], 0)) self.connect((self.fec_deinterleaves_0[rootcount], 1), (self.generic_encoders_0[codercount + 1], 0)) rootcount += 1; codercount += 2; rootcount = 0; branchcount = 1; for i in range(int(math.log(len(encoder_list_0), 2)) - 1): for j in range(int(math.pow(2, i))): self.connect((self.fec_interleaves_0[branchcount], 0), (self.fec_interleaves_0[rootcount], 0)) self.connect((self.fec_interleaves_0[branchcount + 1], 0), (self.fec_interleaves_0[rootcount], 1)) rootcount += 1; branchcount += 2; codercount = 0; for i in range(len(encoder_list_0)/2): self.connect((self.generic_encoders_0[codercount], 0), (self.fec_interleaves_0[rootcount], 0)) self.connect((self.generic_encoders_0[codercount + 1], 0), (self.fec_interleaves_0[rootcount], 1)) rootcount += 1; codercount += 2; if ((len(self.encoder_list_0)) > 1): self.connect((self, 0), (self.fec_deinterleaves_0[0], 0)) self.connect((self.fec_interleaves_0[0], 0), (self, 0)) else: self.connect((self, 0), (self.generic_encoders_0[0], 0)) self.connect((self.generic_encoders_0[0], 0), (self, 0))
