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authoranastas <anastas@221aa14e-8319-0410-a670-987f0aec2ac5>2006-08-09 16:58:13 +0000
committeranastas <anastas@221aa14e-8319-0410-a670-987f0aec2ac5>2006-08-09 16:58:13 +0000
commit30f2121800afe283879a3369a7462d699a77af50 (patch)
treeafb84215ccfaf94f020208f228857f985a660715 /gr-trellis/doc/test_tcm.py
parent943fc694d03a23906d1d537cd50259905004a77c (diff)
Improved documentation files\n
git-svn-id: http://gnuradio.org/svn/gnuradio/trunk@3230 221aa14e-8319-0410-a670-987f0aec2ac5
Diffstat (limited to 'gr-trellis/doc/test_tcm.py')
-rw-r--r--gr-trellis/doc/test_tcm.py32
1 files changed, 2 insertions, 30 deletions
diff --git a/gr-trellis/doc/test_tcm.py b/gr-trellis/doc/test_tcm.py
index 02d1e6c5c1..bf93a421f8 100644
--- a/gr-trellis/doc/test_tcm.py
+++ b/gr-trellis/doc/test_tcm.py
@@ -12,67 +12,42 @@ import fsm_utils
def run_test (f,Kb,bitspersymbol,K,dimensionality,constellation,N0,seed):
fg = gr.flow_graph ()
-
# TX
- #packet = [0]*Kb
- #for i in range(Kb-1*16): # last 16 bits = 0 to drive the final state to 0
- #packet[i] = random.randint(0, 1) # random 0s and 1s
- #src = gr.vector_source_s(packet,False)
src = gr.lfsr_32k_source_s()
src_head = gr.head (gr.sizeof_short,Kb/16) # packet size in shorts
- #b2s = gr.unpacked_to_packed_ss(1,gr.GR_MSB_FIRST) # pack bits in shorts
s2fsmi = gr.packed_to_unpacked_ss(bitspersymbol,gr.GR_MSB_FIRST) # unpack shorts to symbols compatible with the FSM input cardinality
enc = trellis.encoder_ss(f,0) # initial state = 0
mod = gr.chunks_to_symbols_sf(constellation,dimensionality)
-
# CHANNEL
add = gr.add_ff()
noise = gr.noise_source_f(gr.GR_GAUSSIAN,math.sqrt(N0/2),seed)
-
# RX
metrics = trellis.metrics_f(f.O(),dimensionality,constellation,trellis.TRELLIS_EUCLIDEAN) # data preprocessing to generate metrics for Viterbi
va = trellis.viterbi_s(f,K,0,-1) # Put -1 if the Initial/Final states are not set.
fsmi2s = gr.unpacked_to_packed_ss(bitspersymbol,gr.GR_MSB_FIRST) # pack FSM input symbols to shorts
- #s2b = gr.packed_to_unpacked_ss(1,gr.GR_MSB_FIRST) # unpack shorts to bits
- #dst = gr.vector_sink_s();
dst = gr.check_lfsr_32k_s();
-
fg.connect (src,src_head,s2fsmi,enc,mod)
- #fg.connect (src,b2s,s2fsmi,enc,mod)
fg.connect (mod,(add,0))
fg.connect (noise,(add,1))
fg.connect (add,metrics)
fg.connect (metrics,va,fsmi2s,dst)
- #fg.connect (metrics,va,fsmi2s,s2b,dst)
-
fg.run()
# A bit of cheating: run the program once and print the
- # final encoder state..
+ # final encoder state.
# Then put it as the last argument in the viterbi block
#print "final state = " , enc.ST()
ntotal = dst.ntotal ()
nright = dst.nright ()
runlength = dst.runlength ()
- #ntotal = len(packet)
- #if len(dst.data()) != ntotal:
- #print "Error: not enough data\n"
- #nright = 0;
- #for i in range(ntotal):
- #if packet[i]==dst.data()[i]:
- #nright=nright+1
- #else:
- #print "Error in ", i
return (ntotal,ntotal-nright)
-
-
def main(args):
nargs = len (args)
if nargs == 3:
@@ -101,8 +76,6 @@ def main(args):
Es = Es / (len(constellation)/dimensionality)
N0=Es/pow(10.0,esn0_db/10.0); # noise variance
-
-
tot_s=0
terr_s=0
for i in range(rep):
@@ -111,10 +84,9 @@ def main(args):
terr_s=terr_s+e
if (i%100==0):
print i,s,e,tot_s,terr_s, '%e' % ((1.0*terr_s)/tot_s)
- # estimate of the (short or bit) error rate
+ # estimate of the (short) error rate
print tot_s,terr_s, '%e' % ((1.0*terr_s)/tot_s)
if __name__ == '__main__':
main (sys.argv[1:])
-