Ejemplo n.º 1
0
    def __init__(self, interp, taps=None, atten=100):
        gr.hier_block2.__init__(self, "pfb_interpolator_ccf",
                                gr.io_signature(1, 1, gr.sizeof_gr_complex),
                                gr.io_signature(1, 1, gr.sizeof_gr_complex))

        self._interp = interp
        self._taps = taps

        if (taps is not None) and (len(taps) > 0):
            self._taps = taps
        else:
            # Create a filter that covers the full bandwidth of the input signal
            bw = 0.4
            tb = 0.2
            ripple = 0.99
            made = False
            while not made:
                try:
                    self._taps = optfir.low_pass(self._interp, self._interp, bw, bw+tb, ripple, atten)
                    made = True
                except RuntimeError:
                    ripple += 0.01
                    made = False
                    print("Warning: set ripple to %.4f dB. If this is a problem, adjust the attenuation or create your own filter taps." % (ripple))

                    # Build in an exit strategy; if we've come this far, it ain't working.
                    if(ripple >= 1.0):
                        raise RuntimeError("optfir could not generate an appropriate filter.")

        self.pfb = filter.pfb_interpolator_ccf(self._interp, self._taps)

        self.connect(self, self.pfb)
        self.connect(self.pfb, self)
Ejemplo n.º 2
0
    def __init__(self, rate, taps=None, flt_size=32, atten=100):
        gr.hier_block2.__init__(self, "pfb_arb_resampler_ccc",
                                gr.io_signature(1, 1, gr.sizeof_gr_complex), # Input signature
                                gr.io_signature(1, 1, gr.sizeof_gr_complex)) # Output signature

        self._rate = rate
        self._size = flt_size

        if (taps is not None) and (len(taps) > 0):
            self._taps = taps
        else:
            # Create a filter that covers the full bandwidth of the input signal
            bw = 0.4
            tb = 0.2
            ripple = 0.1
            #self._taps = filter.firdes.low_pass_2(self._size, self._size, bw, tb, atten)
            made = False
            while not made:
                try:
                    self._taps = optfir.low_pass(self._size, self._size, bw, bw+tb, ripple, atten)
                    made = True
                except RuntimeError:
                    ripple += 0.01
                    made = False
                    print("Warning: set ripple to %.4f dB. If this is a problem, adjust the attenuation or create your own filter taps." % (ripple))

                    # Build in an exit strategy; if we've come this far, it ain't working.
                    if(ripple >= 1.0):
                        raise RuntimeError("optfir could not generate an appropriate filter.")

        self.pfb = filter.pfb_arb_resampler_ccc(self._rate, self._taps, self._size)
        #print "PFB has %d taps\n" % (len(self._taps),)

        self.connect(self, self.pfb)
        self.connect(self.pfb, self)
Ejemplo n.º 3
0
 def __init__(self, n_chans, n_filterbanks=1, taps=None, outchans=None,
              atten=100, bw=1.0, tb=0.2, ripple=0.1):
     if n_filterbanks > n_chans:
         n_filterbanks = n_chans
     if outchans is None:
         outchans = range(n_chans)
     gr.hier_block2.__init__(
         self, "pfb_channelizer_hier_ccf",
         gr.io_signature(1, 1, gr.sizeof_gr_complex),
         gr.io_signature(len(outchans), len(outchans), gr.sizeof_gr_complex))
     if taps is None:
         taps = optfir.low_pass(1, n_chans, bw, bw+tb, ripple, atten)
     taps = list(taps)
     extra_taps = int(math.ceil(1.0*len(taps)/n_chans)*n_chans - len(taps))
     taps = taps + [0] * extra_taps
     # Make taps for each channel
     chantaps = [list(reversed(taps[i: len(taps): n_chans])) for i in range(0, n_chans)]
     # Convert the input stream into a stream of vectors.
     self.s2v = blocks.stream_to_vector(gr.sizeof_gr_complex, n_chans)
     # Create a mapping to separate out each filterbank (a group of channels to be processed together)
     # And a list of sets of taps for each filterbank.
     low_cpp = int(n_chans/n_filterbanks)
     extra = n_chans - low_cpp*n_filterbanks
     cpps = [low_cpp+1]*extra + [low_cpp]*(n_filterbanks-extra)
     splitter_mapping = []
     filterbanktaps = []
     total = 0
     for cpp in cpps:
         splitter_mapping.append([(0, i) for i in range(total, total+cpp)])
         filterbanktaps.append(chantaps[total: total+cpp])
         total += cpp
     assert(total == n_chans)
     # Split the stream of vectors in n_filterbanks streams of vectors.
     self.splitter = blocks.vector_map(gr.sizeof_gr_complex, [n_chans], splitter_mapping)
     # Create the filterbanks
     self.fbs = [filter.filterbank_vcvcf(taps) for taps in filterbanktaps]
     # Combine the streams of vectors back into a single stream of vectors.
     combiner_mapping = [[]]
     for i, cpp in enumerate(cpps):
         for j in range(cpp):
             combiner_mapping[0].append((i, j))
     self.combiner = blocks.vector_map(gr.sizeof_gr_complex, cpps, combiner_mapping)
     # Add the final FFT to the channelizer.
     self.fft = fft.fft_vcc(n_chans, forward=True, window=[1.0]*n_chans)
     # Select the desired channels
     if outchans != range(n_chans):
         selector_mapping = [[(0, i) for i in outchans]]
         self.selector = blocks.vector_map(gr.sizeof_gr_complex, [n_chans], selector_mapping)
     # Convert stream of vectors to a normal stream.
     self.v2ss = blocks.vector_to_streams(gr.sizeof_gr_complex, len(outchans))
     self.connect(self, self.s2v, self.splitter)
     for i in range(0, n_filterbanks):
         self.connect((self.splitter, i), self.fbs[i], (self.combiner, i))
     self.connect(self.combiner, self.fft)
     if outchans != range(n_chans):
         self.connect(self.fft, self.selector, self.v2ss)
     else:
         self.connect(self.fft, self.v2ss)
     for i in range(0, len(outchans)):
         self.connect((self.v2ss, i), (self, i))
Ejemplo n.º 4
0
    def __init__(self, interp, taps=None, atten=100):
	gr.hier_block2.__init__(self, "pfb_interpolator_ccf",
				gr.io_signature(1, 1, gr.sizeof_gr_complex),
				gr.io_signature(1, 1, gr.sizeof_gr_complex))

        self._interp = interp
        self._taps = taps

        if (taps is not None) and (len(taps) > 0):
            self._taps = taps
        else:
            # Create a filter that covers the full bandwidth of the input signal
            bw = 0.4
            tb = 0.2
            ripple = 0.99
            made = False
            while not made:
                try:
                    self._taps = optfir.low_pass(self._interp, self._interp, bw, bw+tb, ripple, atten)
                    made = True
                except RuntimeError:
                    ripple += 0.01
                    made = False
                    print("Warning: set ripple to %.4f dB. If this is a problem, adjust the attenuation or create your own filter taps." % (ripple))

                    # Build in an exit strategy; if we've come this far, it ain't working.
                    if(ripple >= 1.0):
                        raise RuntimeError("optfir could not generate an appropriate filter.")

        self.pfb = filter.pfb_interpolator_ccf(self._interp, self._taps)

        self.connect(self, self.pfb)
        self.connect(self.pfb, self)
Ejemplo n.º 5
0
    def __init__(self, rate, taps=None, flt_size=32, atten=100):
	gr.hier_block2.__init__(self, "pfb_arb_resampler_fff",
				gr.io_signature(1, 1, gr.sizeof_float), # Input signature
				gr.io_signature(1, 1, gr.sizeof_float)) # Output signature

        self._rate = rate
        self._size = flt_size

        if (taps is not None) and (len(taps) > 0):
            self._taps = taps
        else:
            # Create a filter that covers the full bandwidth of the input signal
            bw = 0.4
            tb = 0.2
            ripple = 0.1
            #self._taps = filter.firdes.low_pass_2(self._size, self._size, bw, tb, atten)
            made = False
            while not made:
                try:
                    self._taps = optfir.low_pass(self._size, self._size, bw, bw+tb, ripple, atten)
                    made = True
                except RuntimeError:
                    ripple += 0.01
                    made = False
                    print("Warning: set ripple to %.4f dB. If this is a problem, adjust the attenuation or create your own filter taps." % (ripple))

                    # Build in an exit strategy; if we've come this far, it ain't working.
                    if(ripple >= 1.0):
                        raise RuntimeError("optfir could not generate an appropriate filter.")

        self.pfb = filter.pfb_arb_resampler_fff(self._rate, self._taps, self._size)
        #print "PFB has %d taps\n" % (len(self._taps),)

        self.connect(self, self.pfb)
        self.connect(self.pfb, self)
Ejemplo n.º 6
0
    def __init__(self, rate, taps=None, flt_size=32, atten=100):
        gr.hier_block2.__init__(self, "pfb_arb_resampler_fff",
                                gr.io_signature(1, 1, gr.sizeof_float), # Input signature
                                gr.io_signature(1, 1, gr.sizeof_float)) # Output signature

        self._rate = rate
        self._size = flt_size

        if (taps is not None) and (len(taps) > 0):
            self._taps = taps
        else:
            # Create a filter that covers the full bandwidth of the input signal

            # If rate >= 1, we need to prevent images in the output,
            # so we have to filter it to less than half the channel
            # width of 0.5.  If rate < 1, we need to filter to less
            # than half the output signal's bw to avoid aliasing, so
            # the half-band here is 0.5*rate.
            percent = 0.80
            if(self._rate < 1):
                halfband = 0.5*self._rate
                bw = percent*halfband
                tb = (percent/2.0)*halfband
                ripple = 0.1

                # As we drop the bw factor, the optfir filter has a harder time converging;
                # using the firdes method here for better results.
                self._taps = filter.firdes.low_pass_2(self._size, self._size, bw, tb, atten,
                                                      filter.firdes.WIN_BLACKMAN_HARRIS)
            else:
                halfband = 0.5
                bw = percent*halfband
                tb = (percent/2.0)*halfband
                ripple = 0.1

                made = False
                while not made:
                    try:
                        self._taps = optfir.low_pass(self._size, self._size, bw, bw+tb, ripple, atten)
                        made = True
                    except RuntimeError:
                        ripple += 0.01
                        made = False
                        print("Warning: set ripple to %.4f dB. If this is a problem, adjust the attenuation or create your own filter taps." % (ripple))

                        # Build in an exit strategy; if we've come this far, it ain't working.
                        if(ripple >= 1.0):
                            raise RuntimeError("optfir could not generate an appropriate filter.")

        self.pfb = filter.pfb_arb_resampler_fff(self._rate, self._taps, self._size)
        #print "PFB has %d taps\n" % (len(self._taps),)

        self.connect(self, self.pfb)
        self.connect(self.pfb, self)
Ejemplo n.º 7
0
    def __init__(self,
                 decim,
                 taps=None,
                 channel=0,
                 atten=100,
                 use_fft_rotators=True,
                 use_fft_filters=True):
        gr.hier_block2.__init__(self, "pfb_decimator_ccf",
                                gr.io_signature(1, 1, gr.sizeof_gr_complex),
                                gr.io_signature(1, 1, gr.sizeof_gr_complex))

        self._decim = decim
        self._channel = channel

        if (taps is not None) and (len(taps) > 0):
            self._taps = taps
        else:
            # Create a filter that covers the full bandwidth of the input signal
            bw = 0.4
            tb = 0.2
            ripple = 0.1
            made = False
            while not made:
                try:
                    self._taps = optfir.low_pass(1, self._decim, bw, bw + tb,
                                                 ripple, atten)
                    made = True
                except RuntimeError:
                    ripple += 0.01
                    made = False
                    print(
                        "Warning: set ripple to %.4f dB. If this is a problem, adjust the attenuation or create your own filter taps."
                        % (ripple))

                    # Build in an exit strategy; if we've come this far, it ain't working.
                    if (ripple >= 1.0):
                        raise RuntimeError(
                            "optfir could not generate an appropriate filter.")

        self.s2ss = blocks.stream_to_streams(gr.sizeof_gr_complex, self._decim)
        self.pfb = filter.pfb_decimator_ccf(self._decim, self._taps,
                                            self._channel, use_fft_rotators,
                                            use_fft_filters)

        self.connect(self, self.s2ss)

        for i in xrange(self._decim):
            self.connect((self.s2ss, i), (self.pfb, i))

        self.connect(self.pfb, self)
Ejemplo n.º 8
0
    def __init__(self, numchans, taps=None, oversample_rate=1, atten=100):
        gr.hier_block2.__init__(
            self, "pfb_channelizer_ccf",
            gr.io_signature(1, 1, gr.sizeof_gr_complex),
            gr.io_signature(numchans, numchans, gr.sizeof_gr_complex))

        self._nchans = numchans
        self._oversample_rate = oversample_rate

        if taps is not None:
            self._taps = taps
        else:
            # Create a filter that covers the full bandwidth of the input signal
            bw = 0.4
            tb = 0.2
            ripple = 0.1
            made = False
            while not made:
                try:
                    self._taps = optfir.low_pass(1, self._nchans, bw, bw + tb,
                                                 ripple, atten)
                    made = True
                except RuntimeError:
                    ripple += 0.01
                    made = False
                    print(
                        "Warning: set ripple to %.4f dB. If this is a problem, adjust the attenuation or create your own filter taps."
                        % (ripple))

                    # Build in an exit strategy; if we've come this far, it ain't working.
                    if (ripple >= 1.0):
                        raise RuntimeError(
                            "optfir could not generate an appropriate filter.")

        self.s2ss = gr.stream_to_streams(gr.sizeof_gr_complex, self._nchans)
        self.pfb = filter.pfb_channelizer_ccf(self._nchans, self._taps,
                                              self._oversample_rate)
        self.connect(self, self.s2ss)

        for i in xrange(self._nchans):
            self.connect((self.s2ss, i), (self.pfb, i))
            self.connect((self.pfb, i), (self, i))
Ejemplo n.º 9
0
    def __init__(self, decim, taps=None, channel=0, atten=100,
                 use_fft_rotators=True, use_fft_filters=True):
	gr.hier_block2.__init__(self, "pfb_decimator_ccf",
				gr.io_signature(1, 1, gr.sizeof_gr_complex),
				gr.io_signature(1, 1, gr.sizeof_gr_complex))

        self._decim = decim
        self._channel = channel

        if (taps is not None) and (len(taps) > 0):
            self._taps = taps
        else:
            # Create a filter that covers the full bandwidth of the input signal
            bw = 0.4
            tb = 0.2
            ripple = 0.1
            made = False
            while not made:
                try:
                    self._taps = optfir.low_pass(1, self._decim, bw, bw+tb, ripple, atten)
                    made = True
                except RuntimeError:
                    ripple += 0.01
                    made = False
                    print("Warning: set ripple to %.4f dB. If this is a problem, adjust the attenuation or create your own filter taps." % (ripple))

                    # Build in an exit strategy; if we've come this far, it ain't working.
                    if(ripple >= 1.0):
                        raise RuntimeError("optfir could not generate an appropriate filter.")

        self.s2ss = blocks.stream_to_streams(gr.sizeof_gr_complex, self._decim)
        self.pfb = filter.pfb_decimator_ccf(self._decim, self._taps, self._channel,
                                            use_fft_rotators, use_fft_filters)

        self.connect(self, self.s2ss)

        for i in xrange(self._decim):
            self.connect((self.s2ss,i), (self.pfb,i))

        self.connect(self.pfb, self)
Ejemplo n.º 10
0
    def __init__(self, numchans, taps=None, oversample_rate=1, atten=100):
	gr.hier_block2.__init__(self, "pfb_channelizer_ccf",
				gr.io_signature(1, 1, gr.sizeof_gr_complex),
				gr.io_signature(numchans, numchans, gr.sizeof_gr_complex))

        self._nchans = numchans
        self._oversample_rate = oversample_rate

        if taps is not None:
            self._taps = taps
        else:
            # Create a filter that covers the full bandwidth of the input signal
            bw = 0.4
            tb = 0.2
            ripple = 0.1
            made = False
            while not made:
                try:
                    self._taps = optfir.low_pass(1, self._nchans, bw, bw+tb, ripple, atten)
                    made = True
                except RuntimeError:
                    ripple += 0.01
                    made = False
                    print("Warning: set ripple to %.4f dB. If this is a problem, adjust the attenuation or create your own filter taps." % (ripple))

                    # Build in an exit strategy; if we've come this far, it ain't working.
                    if(ripple >= 1.0):
                        raise RuntimeError("optfir could not generate an appropriate filter.")

        self.s2ss = gr.stream_to_streams(gr.sizeof_gr_complex, self._nchans)
        self.pfb = filter.pfb_channelizer_ccf(self._nchans, self._taps,
                                              self._oversample_rate)
        self.connect(self, self.s2ss)

        for i in xrange(self._nchans):
            self.connect((self.s2ss,i), (self.pfb,i))
            self.connect((self.pfb,i), (self,i))
Ejemplo n.º 11
0
 def __init__(self,
              n_chans,
              n_filterbanks=1,
              taps=None,
              outchans=None,
              atten=100,
              bw=1.0,
              tb=0.2,
              ripple=0.1):
     if n_filterbanks > n_chans:
         n_filterbanks = n_chans
     if outchans is None:
         outchans = range(n_chans)
     gr.hier_block2.__init__(
         self, "pfb_channelizer_hier_ccf",
         gr.io_signature(1, 1, gr.sizeof_gr_complex),
         gr.io_signature(len(outchans), len(outchans),
                         gr.sizeof_gr_complex))
     if taps is None:
         taps = optfir.low_pass(1, n_chans, bw, bw + tb, ripple, atten)
     taps = list(taps)
     extra_taps = int(
         math.ceil(1.0 * len(taps) / n_chans) * n_chans - len(taps))
     taps = taps + [0] * extra_taps
     # Make taps for each channel
     chantaps = [
         list(reversed(taps[i:len(taps):n_chans]))
         for i in range(0, n_chans)
     ]
     # Convert the input stream into a stream of vectors.
     self.s2v = blocks.stream_to_vector(gr.sizeof_gr_complex, n_chans)
     # Create a mapping to separate out each filterbank (a group of channels to be processed together)
     # And a list of sets of taps for each filterbank.
     low_cpp = int(n_chans / n_filterbanks)
     extra = n_chans - low_cpp * n_filterbanks
     cpps = [low_cpp + 1] * extra + [low_cpp] * (n_filterbanks - extra)
     splitter_mapping = []
     filterbanktaps = []
     total = 0
     for cpp in cpps:
         splitter_mapping.append([(0, i)
                                  for i in range(total, total + cpp)])
         filterbanktaps.append(chantaps[total:total + cpp])
         total += cpp
     assert (total == n_chans)
     # Split the stream of vectors in n_filterbanks streams of vectors.
     self.splitter = blocks.vector_map(gr.sizeof_gr_complex, [n_chans],
                                       splitter_mapping)
     # Create the filterbanks
     self.fbs = [filter.filterbank_vcvcf(taps) for taps in filterbanktaps]
     # Combine the streams of vectors back into a single stream of vectors.
     combiner_mapping = [[]]
     for i, cpp in enumerate(cpps):
         for j in range(cpp):
             combiner_mapping[0].append((i, j))
     self.combiner = blocks.vector_map(gr.sizeof_gr_complex, cpps,
                                       combiner_mapping)
     # Add the final FFT to the channelizer.
     self.fft = fft.fft_vcc(n_chans, forward=True, window=[1.0] * n_chans)
     # Select the desired channels
     if outchans != range(n_chans):
         selector_mapping = [[(0, i) for i in outchans]]
         self.selector = blocks.vector_map(gr.sizeof_gr_complex, [n_chans],
                                           selector_mapping)
     # Convert stream of vectors to a normal stream.
     self.v2ss = blocks.vector_to_streams(gr.sizeof_gr_complex,
                                          len(outchans))
     self.connect(self, self.s2v, self.splitter)
     for i in range(0, n_filterbanks):
         self.connect((self.splitter, i), self.fbs[i], (self.combiner, i))
     self.connect(self.combiner, self.fft)
     if outchans != range(n_chans):
         self.connect(self.fft, self.selector, self.v2ss)
     else:
         self.connect(self.fft, self.v2ss)
     for i in range(0, len(outchans)):
         self.connect((self.v2ss, i), (self, i))
Ejemplo n.º 12
0
    def __init__(self, rate, taps=None, flt_size=32, atten=100):
        gr.hier_block2.__init__(
            self,
            "pfb_arb_resampler_fff",
            gr.io_signature(1, 1, gr.sizeof_float),  # Input signature
            gr.io_signature(1, 1, gr.sizeof_float))  # Output signature

        self._rate = rate
        self._size = flt_size

        if (taps is not None) and (len(taps) > 0):
            self._taps = taps
        else:
            # Create a filter that covers the full bandwidth of the input signal

            # If rate >= 1, we need to prevent images in the output,
            # so we have to filter it to less than half the channel
            # width of 0.5.  If rate < 1, we need to filter to less
            # than half the output signal's bw to avoid aliasing, so
            # the half-band here is 0.5*rate.
            percent = 0.80
            if (self._rate < 1):
                halfband = 0.5 * self._rate
                bw = percent * halfband
                tb = (percent / 2.0) * halfband
                ripple = 0.1

                # As we drop the bw factor, the optfir filter has a harder time converging;
                # using the firdes method here for better results.
                self._taps = filter.firdes.low_pass_2(
                    self._size, self._size, bw, tb, atten,
                    filter.firdes.WIN_BLACKMAN_HARRIS)
            else:
                halfband = 0.5
                bw = percent * halfband
                tb = (percent / 2.0) * halfband
                ripple = 0.1

                made = False
                while not made:
                    try:
                        self._taps = optfir.low_pass(self._size, self._size,
                                                     bw, bw + tb, ripple,
                                                     atten)
                        made = True
                    except RuntimeError:
                        ripple += 0.01
                        made = False
                        print(
                            "Warning: set ripple to %.4f dB. If this is a problem, adjust the attenuation or create your own filter taps."
                            % (ripple))

                        # Build in an exit strategy; if we've come this far, it ain't working.
                        if (ripple >= 1.0):
                            raise RuntimeError(
                                "optfir could not generate an appropriate filter."
                            )

        self.pfb = filter.pfb_arb_resampler_fff(self._rate, self._taps,
                                                self._size)
        #print "PFB has %d taps\n" % (len(self._taps),)

        self.connect(self, self.pfb)
        self.connect(self.pfb, self)