Exemple #1
0
    def __init__(self, parent, baseband_freq=0,
                 y_per_div=10, ref_level=50, sample_rate=1, fac_size=512,
                 fac_rate=default_fac_rate, 
                 average=False, avg_alpha=None,
                 title='', size=default_facsink_size, peak_hold=False):

        fac_sink_base.__init__(self, input_is_real=True, baseband_freq=baseband_freq,
                               y_per_div=y_per_div, ref_level=ref_level,
                               sample_rate=sample_rate, fac_size=fac_size,
                               fac_rate=fac_rate,  
                               average=average, avg_alpha=avg_alpha, title=title,
                               peak_hold=peak_hold)
                               
        s2p = blocks.stream_to_vector(gr.sizeof_float, self.fac_size)
        self.one_in_n = blocks.keep_one_in_n(gr.sizeof_float * self.fac_size,
                                         max(1, int(self.sample_rate/self.fac_size/self.fac_rate)))

        # windowing removed... 

        #fac = gr.fft_vfc(self.fac_size, True, ())
        fac = fft.fft_vfc(self.fac_size, True, ())

        c2mag = blocks.complex_to_mag(self.fac_size)
        self.avg = filter.single_pole_iir_filter_ff_make(1.0, self.fac_size)

        fac_fac   = fft.fft_vfc(self.fac_size, True, ())
        fac_c2mag = blocks.complex_to_mag_make(fac_size)

        # FIXME  We need to add 3dB to all bins but the DC bin
        log = blocks.nlog10_ff_make(20, self.fac_size,
                           -20*math.log10(self.fac_size) )
        sink = blocks.message_sink(gr.sizeof_float * self.fac_size, self.msgq, True)

        self.connect(s2p, self.one_in_n, fac, c2mag,  fac_fac, fac_c2mag, self.avg, log, sink)

#        gr.hier_block.__init__(self, fg, s2p, sink)

        self.win = fac_window(self, parent, size=size)
        self.set_average(self.average)

        self.wxgui_connect(self, s2p)
Exemple #2
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    def __init__(self, parent, baseband_freq=0,
                 y_per_div=10, ref_level=50, sample_rate=1, fac_size=512,
                 fac_rate=default_fac_rate, 
                 average=False, avg_alpha=None,
                 title='', size=default_facsink_size, peak_hold=False):

        fac_sink_base.__init__(self, input_is_real=False, baseband_freq=baseband_freq,
                               y_per_div=y_per_div, ref_level=ref_level,
                               sample_rate=sample_rate, fac_size=fac_size,
                               fac_rate=fac_rate, 
                               average=average, avg_alpha=avg_alpha, title=title,
                               peak_hold=peak_hold)

        s2p = blocks.stream_to_vector(gr.sizeof_gr_complex, self.fac_size)
        self.one_in_n = blocks.keep_one_in_n(gr.sizeof_gr_complex * self.fac_size,
                                         max(1, int(self.sample_rate/self.fac_size/self.fac_rate)))

        # windowing removed ...
     
        fac =  fft.fft_vcc(self.fac_size, True, ())
        c2mag = blocks.complex_to_mag_make(fac_size)

        # Things go off into the weeds if we try for an inverse FFT so a forward FFT will have to do...
        fac_fac   = fft.fft_vfc(self.fac_size, True, ())
        fac_c2mag = blocks.complex_to_mag_make(fac_size)

        self.avg = filter.single_pole_iir_filter_ff_make(1.0, fac_size)

        log = blocks.nlog10_ff_make(20, self.fac_size, 
                           -20*math.log10(self.fac_size)  ) #  - 20*math.log10(norm) ) # - self.avg[0] )
        sink = blocks.message_sink_make(gr.sizeof_float * fac_size, self.msgq, True)

        self.connect(s2p, self.one_in_n, fac, c2mag,  fac_fac, fac_c2mag, self.avg, log, sink)

#        gr.hier_block2.__init__(self, fg, s2p, sink)

        self.win = fac_window(self, parent, size=size)
        self.set_average(self.average)

        self.wxgui_connect(self, s2p)
Exemple #3
0
    def __init__(self, sample_rate, fac_size, fac_decimation, useDB):
        gr.hier_block2.__init__(
            self,
            "AutoCorrelator",
            gr.io_signature(1, 1, gr.sizeof_gr_complex),  # Input signature
            gr.io_signature(1, 1,
                            gr.sizeof_float * fac_size))  # Output signature

        self.fac_size = fac_size
        self.fac_decimation = fac_decimation
        self.sample_rate = sample_rate

        streamToVec = blocks.stream_to_vector(gr.sizeof_gr_complex,
                                              self.fac_size)
        # Make sure N is at least 1
        decimation = int(self.sample_rate / self.fac_size /
                         self.fac_decimation)
        self.one_in_n = blocks.keep_one_in_n(
            gr.sizeof_gr_complex * self.fac_size, max(1, decimation))

        # FFT Note: No windowing.
        fac = fft.fft_vcc(self.fac_size, True, ())

        complex2Mag = blocks.complex_to_mag(self.fac_size)
        self.avg = filter.single_pole_iir_filter_ff_make(1.0, self.fac_size)

        fac_fac = fft.fft_vfc(self.fac_size, True, ())
        fac_c2mag = blocks.complex_to_mag_make(fac_size)

        # There's a note in Baz's block about needing to add 3 dB to each bin but the DC bin, however it was never implemented
        n = 20
        k = -20 * math.log10(self.fac_size)
        log = blocks.nlog10_ff_make(n, self.fac_size, k)

        if useDB:
            self.connect(self, streamToVec, self.one_in_n, fac, complex2Mag,
                         fac_fac, fac_c2mag, self.avg, log, self)
        else:
            self.connect(self, streamToVec, self.one_in_n, fac, complex2Mag,
                         fac_fac, fac_c2mag, self.avg, self)