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authorTom Rondeau <trondeau@vt.edu>2012-12-21 15:11:39 -0500
committerTom Rondeau <trondeau@vt.edu>2012-12-21 21:19:13 -0500
commit55d3e4a47958be287648a2021f7e92d81086b2d9 (patch)
treeae0195c457f2cf2734376679cc88c2d728040680 /gr-filter/python/filterbank.py
parentfa781237f341a74a243a9fb930daee7e62c3a682 (diff)
blocks: removes blocks moved to gr-blocks from gnuradio-core.
Also fixes up some other missing moves.
Diffstat (limited to 'gr-filter/python/filterbank.py')
-rw-r--r--gr-filter/python/filterbank.py173
1 files changed, 173 insertions, 0 deletions
diff --git a/gr-filter/python/filterbank.py b/gr-filter/python/filterbank.py
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+#
+# Copyright 2005,2007 Free Software Foundation, Inc.
+#
+# This file is part of GNU Radio
+#
+# GNU Radio is free software; you can redistribute it and/or modify
+# it under the terms of the GNU General Public License as published by
+# the Free Software Foundation; either version 3, or (at your option)
+# any later version.
+#
+# GNU Radio is distributed in the hope that it will be useful,
+# but WITHOUT ANY WARRANTY; without even the implied warranty of
+# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
+# GNU General Public License for more details.
+#
+# You should have received a copy of the GNU General Public License
+# along with GNU Radio; see the file COPYING. If not, write to
+# the Free Software Foundation, Inc., 51 Franklin Street,
+# Boston, MA 02110-1301, USA.
+#
+
+import sys
+from gnuradio import gr
+from gnuradio import fft
+from gnuradio import blocks
+
+def _generate_synthesis_taps(mpoints):
+ return [] # FIXME
+
+
+def _split_taps(taps, mpoints):
+ assert (len(taps) % mpoints) == 0
+ result = [list() for x in range(mpoints)]
+ for i in xrange(len(taps)):
+ (result[i % mpoints]).append(taps[i])
+ return [tuple(x) for x in result]
+
+
+class synthesis_filterbank(gr.hier_block2):
+ """
+ Uniformly modulated polyphase DFT filter bank: synthesis
+
+ See http://cnx.org/content/m10424/latest
+ """
+ def __init__(self, mpoints, taps=None):
+ """
+ Takes M complex streams in, produces single complex stream out
+ that runs at M times the input sample rate
+
+ Args:
+ mpoints: number of freq bins/interpolation factor/subbands
+ taps: filter taps for subband filter
+
+ The channel spacing is equal to the input sample rate.
+ The total bandwidth and output sample rate are equal the input
+ sample rate * nchannels.
+
+ Output stream to frequency mapping:
+
+ channel zero is at zero frequency.
+
+ if mpoints is odd:
+
+ Channels with increasing positive frequencies come from
+ channels 1 through (N-1)/2.
+
+ Channel (N+1)/2 is the maximum negative frequency, and
+ frequency increases through N-1 which is one channel lower
+ than the zero frequency.
+
+ if mpoints is even:
+
+ Channels with increasing positive frequencies come from
+ channels 1 through (N/2)-1.
+
+ Channel (N/2) is evenly split between the max positive and
+ negative bins.
+
+ Channel (N/2)+1 is the maximum negative frequency, and
+ frequency increases through N-1 which is one channel lower
+ than the zero frequency.
+
+ Channels near the frequency extremes end up getting cut
+ off by subsequent filters and therefore have diminished
+ utility.
+ """
+ item_size = gr.sizeof_gr_complex
+ gr.hier_block2.__init__(self, "synthesis_filterbank",
+ gr.io_signature(mpoints, mpoints, item_size), # Input signature
+ gr.io_signature(1, 1, item_size)) # Output signature
+
+
+ if taps is None:
+ taps = _generate_synthesis_taps(mpoints)
+
+ # pad taps to multiple of mpoints
+ r = len(taps) % mpoints
+ if r != 0:
+ taps = taps + (mpoints - r) * (0,)
+
+ # split in mpoints separate set of taps
+ sub_taps = _split_taps(taps, mpoints)
+
+ self.ss2v = blocks.streams_to_vector(item_size, mpoints)
+ self.ifft = fft.fft_vcc(mpoints, False, [])
+ self.v2ss = blocks.vector_to_streams(item_size, mpoints)
+ # mpoints filters go in here...
+ self.ss2s = blocks.streams_to_stream(item_size, mpoints)
+
+ for i in range(mpoints):
+ self.connect((self, i), (self.ss2v, i))
+
+ self.connect(self.ss2v, self.ifft, self.v2ss)
+
+ # build mpoints fir filters...
+ for i in range(mpoints):
+ f = fft.fft_filter_ccc(1, sub_taps[i])
+ self.connect((self.v2ss, i), f)
+ self.connect(f, (self.ss2s, i))
+
+ self.connect(self.ss2s, self)
+
+class analysis_filterbank(gr.hier_block2):
+ """
+ Uniformly modulated polyphase DFT filter bank: analysis
+
+ See http://cnx.org/content/m10424/latest
+ """
+ def __init__(self, mpoints, taps=None):
+ """
+ Takes 1 complex stream in, produces M complex streams out
+ that runs at 1/M times the input sample rate
+
+ Args:
+ mpoints: number of freq bins/interpolation factor/subbands
+ taps: filter taps for subband filter
+
+ Same channel to frequency mapping as described above.
+ """
+ item_size = gr.sizeof_gr_complex
+ gr.hier_block2.__init__(self, "analysis_filterbank",
+ gr.io_signature(1, 1, item_size), # Input signature
+ gr.io_signature(mpoints, mpoints, item_size)) # Output signature
+
+ if taps is None:
+ taps = _generate_synthesis_taps(mpoints)
+
+ # pad taps to multiple of mpoints
+ r = len(taps) % mpoints
+ if r != 0:
+ taps = taps + (mpoints - r) * (0,)
+
+ # split in mpoints separate set of taps
+ sub_taps = _split_taps(taps, mpoints)
+
+ # print >> sys.stderr, "mpoints =", mpoints, "len(sub_taps) =", len(sub_taps)
+
+ self.s2ss = blocks.stream_to_streams(item_size, mpoints)
+ # filters here
+ self.ss2v = blocks.streams_to_vector(item_size, mpoints)
+ self.fft = fft.fft_vcc(mpoints, True, [])
+ self.v2ss = blocks.vector_to_streams(item_size, mpoints)
+
+ self.connect(self, self.s2ss)
+
+ # build mpoints fir filters...
+ for i in range(mpoints):
+ f = fft.fft_filter_ccc(1, sub_taps[mpoints-i-1])
+ self.connect((self.s2ss, i), f)
+ self.connect(f, (self.ss2v, i))
+ self.connect((self.v2ss, i), (self, i))
+
+ self.connect(self.ss2v, self.fft, self.v2ss)