From f919f9dcbb54a08e6e26d6c229ce92fb784fa1b2 Mon Sep 17 00:00:00 2001
From: Tom Rondeau <trondeau@vt.edu>
Date: Fri, 13 Apr 2012 18:36:53 -0400
Subject: Removed whitespace and added dtools/bin/remove-whitespace as a tool
to do this in the future.
The sed script was provided by Moritz Fischer.
---
gr-trellis/src/examples/python/test_turbo_equalization2.py | 14 +++++++-------
1 file changed, 7 insertions(+), 7 deletions(-)
(limited to 'gr-trellis/src/examples/python/test_turbo_equalization2.py')
diff --git a/gr-trellis/src/examples/python/test_turbo_equalization2.py b/gr-trellis/src/examples/python/test_turbo_equalization2.py
index 7e4341cba3..5a6c77e9d4 100755
--- a/gr-trellis/src/examples/python/test_turbo_equalization2.py
+++ b/gr-trellis/src/examples/python/test_turbo_equalization2.py
@@ -65,17 +65,17 @@ def run_test (fo,fi,interleaver,Kb,bitspersymbol,K,channel,modulation,dimensiona
isi = gr.fir_filter_fff(1,channel)
add = gr.add_ff()
noise = gr.noise_source_f(gr.GR_GAUSSIAN,math.sqrt(N0/2),seed)
-
+
# RX
- (head,tail) = make_rx(tb,fo,fi,dimensionality,tot_constellation,K,interleaver,IT,Es,N0,trellis.TRELLIS_MIN_SUM)
- dst = gr.vector_sink_s();
-
+ (head,tail) = make_rx(tb,fo,fi,dimensionality,tot_constellation,K,interleaver,IT,Es,N0,trellis.TRELLIS_MIN_SUM)
+ dst = gr.vector_sink_s();
+
tb.connect (src,enc_out,inter,mod)
tb.connect (mod,isi,(add,0))
tb.connect (noise,(add,1))
tb.connect (add,head)
tb.connect (tail,dst)
-
+
tb.run()
data = dst.data()
@@ -86,7 +86,7 @@ def run_test (fo,fi,interleaver,Kb,bitspersymbol,K,channel,modulation,dimensiona
nright=nright+1
#else:
#print "Error in ", i
-
+
return (ntotal,ntotal-nright)
@@ -117,7 +117,7 @@ def main(args):
tot_channel = fsm_utils.make_isi_lookup(modulation,channel,True) # generate the lookup table (normalize energy to 1)
dimensionality = tot_channel[0]
N0=pow(10.0,-esn0_db/10.0); # noise variance
- tot_constellation =[0]*len(tot_channel[1])
+ tot_constellation =[0]*len(tot_channel[1])
for i in range(len(tot_channel[1])):
tot_constellation[i] = tot_channel[1][i] * math.sqrt(1.0/N0)
if len(tot_constellation)/dimensionality != fi.O():
--
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