Пример #1
0
    def __init__(self, encoder_list, decoder_list, esno=numpy.arange(0.0, 3.0, .25),
                 samp_rate=3200000, threading='capillary', puncpat='11', seed=0):
        gr.hier_block2.__init__(
            self, "ber_curve_generator",
            gr.io_signature(0, 0, 0),
            gr.io_signature(len(esno) * 2, len(esno) * 2, gr.sizeof_char*1))

        self.esno = esno
        self.samp_rate = samp_rate
        self.encoder_list = encoder_list
        self.decoder_list = decoder_list
        self.puncpat = puncpat

        self.random_gen_b_0 = blocks.vector_source_b(map(int, numpy.random.randint(0, 256, 100000)), True)
        self.deinterleave = blocks.deinterleave(gr.sizeof_char*1)
        self.connect(self.random_gen_b_0, self.deinterleave)
        self.ber_generators = []
        for i in range(0, len(esno)):
            ber_generator_temp = fec_test(
                generic_encoder=encoder_list[i],
                generic_decoder=decoder_list[i],
                esno=esno[i],
                samp_rate=samp_rate,
                threading=threading,
                puncpat=puncpat,
                seed=seed)
            self.ber_generators.append(ber_generator_temp);

        for i in range(0, len(esno)):
            self.connect((self.deinterleave, i), (self.ber_generators[i]))
            self.connect((self.ber_generators[i], 0), (self, i*2));
            self.connect((self.ber_generators[i], 1), (self, i*2 + 1));
    def __init__(self,
                 encoder_list,
                 decoder_list,
                 esno=numpy.arange(0.0, 3.0, .25),
                 samp_rate=3200000,
                 threading='capillary',
                 puncpat='11',
                 seed=0):
        gr.hier_block2.__init__(
            self, "ber_curve_generator", gr.io_signature(0, 0, 0),
            gr.io_signature(len(esno) * 2,
                            len(esno) * 2, gr.sizeof_char * 1))

        self.esno = esno
        self.samp_rate = samp_rate
        self.encoder_list = encoder_list
        self.decoder_list = decoder_list
        self.puncpat = puncpat

        self.random_gen_b_0 = blocks.vector_source_b(
            map(int, numpy.random.randint(0, 256, 100000)), True)
        self.deinterleave = blocks.deinterleave(gr.sizeof_char * 1)
        self.connect(self.random_gen_b_0, self.deinterleave)
        self.ber_generators = []

        # FIXME It would be good to check that the encoder_list and
        # decoder_list have parallelism set to > 0. If parallelism
        # is set to 0, a map isn't passed and an indexing error is
        # thrown on line 53 or 54 below.

        for i in range(0, len(esno)):
            ber_generator_temp = fec_test(generic_encoder=encoder_list[i],
                                          generic_decoder=decoder_list[i],
                                          esno=esno[i],
                                          samp_rate=samp_rate,
                                          threading=threading,
                                          puncpat=puncpat,
                                          seed=seed)
            self.ber_generators.append(ber_generator_temp)

        for i in range(0, len(esno)):
            self.connect((self.deinterleave, i), (self.ber_generators[i]))
            self.connect((self.ber_generators[i], 0), (self, i * 2))
            self.connect((self.ber_generators[i], 1), (self, i * 2 + 1))
Пример #3
0
    def __init__(self,
                 encoder_list,
                 decoder_list,
                 esno=numpy.arange(0.0, 3.0, .25),
                 samp_rate=3200000,
                 threading='capillary',
                 puncpat='11',
                 seed=0):
        gr.hier_block2.__init__(
            self, "ber_curve_generator", gr.io_signature(0, 0, 0),
            gr.io_signature(len(esno) * 2,
                            len(esno) * 2, gr.sizeof_char * 1))

        self.esno = esno
        self.samp_rate = samp_rate
        self.encoder_list = encoder_list
        self.decoder_list = decoder_list
        self.puncpat = puncpat

        self.random_gen_b_0 = blocks.vector_source_b(
            map(int, numpy.random.randint(0, 256, 100000)), True)
        self.deinterleave = blocks.deinterleave(gr.sizeof_char * 1)
        self.connect(self.random_gen_b_0, self.deinterleave)
        self.ber_generators = []
        for i in range(0, len(esno)):
            ber_generator_temp = fec_test(generic_encoder=encoder_list[i],
                                          generic_decoder=decoder_list[i],
                                          esno=esno[i],
                                          samp_rate=samp_rate,
                                          threading=threading,
                                          puncpat=puncpat,
                                          seed=seed)
            self.ber_generators.append(ber_generator_temp)

        for i in range(0, len(esno)):
            self.connect((self.deinterleave, i), (self.ber_generators[i]))
            self.connect((self.ber_generators[i], 0), (self, i * 2))
            self.connect((self.ber_generators[i], 1), (self, i * 2 + 1))
Пример #4
0
    def __init__(self, encoder_list, decoder_list, esno=numpy.arange(0.0, 3.0, .25),
                 samp_rate=3200000, threading='capillary', puncpat='11', seed=0):
        gr.hier_block2.__init__(
            self, "ber_curve_generator",
            gr.io_signature(0, 0, 0),
            gr.io_signature(len(esno) * 2, len(esno) * 2, gr.sizeof_char*1))

        self.esno = esno
        self.samp_rate = samp_rate
        self.encoder_list = encoder_list
        self.decoder_list = decoder_list
        self.puncpat = puncpat

        self.random_gen_b_0 = blocks.vector_source_b(map(int, numpy.random.randint(0, 256, 100000)), True)
        self.deinterleave = blocks.deinterleave(gr.sizeof_char*1)
        self.connect(self.random_gen_b_0, self.deinterleave)
        self.ber_generators = []

        # FIXME It would be good to check that the encoder_list and
        # decoder_list have parallelism set to > 0. If parallelism
        # is set to 0, a map isn't passed and an indexing error is
        # thrown on line 53 or 54 below.

        for i in range(0, len(esno)):
            ber_generator_temp = fec_test(
                generic_encoder=encoder_list[i],
                generic_decoder=decoder_list[i],
                esno=esno[i],
                samp_rate=samp_rate,
                threading=threading,
                puncpat=puncpat,
                seed=seed)
            self.ber_generators.append(ber_generator_temp);

        for i in range(0, len(esno)):
            self.connect((self.deinterleave, i), (self.ber_generators[i]))
            self.connect((self.ber_generators[i], 0), (self, i*2));
            self.connect((self.ber_generators[i], 1), (self, i*2 + 1));