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), # Input signature
gr.io_signature(numchans, numchans,
gr.sizeof_gr_complex)) # Output signature
self._numchans = 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._numchans, 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._numchans)
self.pfb = gr.pfb_channelizer_ccf(self._numchans, self._taps,
self._oversample_rate)
self.v2s = gr.vector_to_streams(gr.sizeof_gr_complex, self._numchans)
self.connect(self, self.s2ss)
for i in xrange(self._numchans):
self.connect((self.s2ss, i), (self.pfb, i))
# Get independent streams from the filterbank and send them out
self.connect(self.pfb, self.v2s)
for i in xrange(self._numchans):
self.connect((self.v2s, i), (self, i))
def __init__(self, numchans, taps):
gr.hier_block2.__init__(self, "pfb_channelizer_ccf",
gr.io_signature(1, 1, gr.sizeof_gr_complex), # Input signature
gr.io_signature(numchans, numchans, gr.sizeof_gr_complex)) # Output signature
self._numchans = numchans
self._taps = taps
self.s2ss = gr.stream_to_streams(gr.sizeof_gr_complex, self._numchans)
self.pfb = gr.pfb_channelizer_ccf(self._numchans, self._taps)
self.v2s = gr.vector_to_streams(gr.sizeof_gr_complex, self._numchans)
self.connect(self, self.s2ss)
for i in xrange(self._numchans):
self.connect((self.s2ss,i), (self.pfb,i))
# Get independent streams from the filterbank and send them out
self.connect(self.pfb, self.v2s)
for i in xrange(self._numchans):
self.connect((self.v2s,i), (self,i))
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), # Input signature
gr.io_signature(numchans, numchans, gr.sizeof_gr_complex)) # Output signature
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 = gr.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))
