diff options
Diffstat (limited to 'gr-trellis/src/examples/test_turbo_equalization1.py')
-rwxr-xr-x | gr-trellis/src/examples/test_turbo_equalization1.py | 38 |
1 files changed, 19 insertions, 19 deletions
diff --git a/gr-trellis/src/examples/test_turbo_equalization1.py b/gr-trellis/src/examples/test_turbo_equalization1.py index 5afd5ba66e..8d2feec8ad 100755 --- a/gr-trellis/src/examples/test_turbo_equalization1.py +++ b/gr-trellis/src/examples/test_turbo_equalization1.py @@ -9,7 +9,7 @@ import sys import random import fsm_utils -def make_rx(fg,fo,fi,dimensionality,tot_constellation,K,interleaver,IT,Es,N0,type): +def make_rx(tb,fo,fi,dimensionality,tot_constellation,K,interleaver,IT,Es,N0,type): metrics_in = trellis.metrics_f(fi.O(),dimensionality,tot_constellation,trellis.TRELLIS_EUCLIDEAN) # data preprocessing to generate metrics for innner SISO scale = gr.multiply_const_ff(1.0/N0) gnd = gr.vector_source_f([0],True); @@ -30,27 +30,27 @@ def make_rx(fg,fo,fi,dimensionality,tot_constellation,K,interleaver,IT,Es,N0,typ siso_out.append( trellis.viterbi_s(fo,K,0,-1) ) # no soft outputs needed # connect first stage - fg.connect (gnd,inter[0]) - fg.connect (metrics_in,scale) - fg.connect (scale,(siso_in[0],1)) + tb.connect (gnd,inter[0]) + tb.connect (metrics_in,scale) + tb.connect (scale,(siso_in[0],1)) # connect the rest for it in range(IT): if it < IT-1: - fg.connect (scale,(siso_in[it+1],1)) - fg.connect (siso_in[it],deinter[it],(siso_out[it],1)) - fg.connect (gnd,(siso_out[it],0)) - fg.connect (siso_out[it],inter[it+1]) - fg.connect (inter[it],(siso_in[it],0)) + tb.connect (scale,(siso_in[it+1],1)) + tb.connect (siso_in[it],deinter[it],(siso_out[it],1)) + tb.connect (gnd,(siso_out[it],0)) + tb.connect (siso_out[it],inter[it+1]) + tb.connect (inter[it],(siso_in[it],0)) else: - fg.connect (siso_in[it],deinter[it],siso_out[it]) - fg.connect (inter[it],(siso_in[it],0)) + tb.connect (siso_in[it],deinter[it],siso_out[it]) + tb.connect (inter[it],(siso_in[it],0)) return (metrics_in,siso_out[IT-1]) def run_test (fo,fi,interleaver,Kb,bitspersymbol,K,channel,modulation,dimensionality,tot_constellation,Es,N0,IT,seed): - fg = gr.flow_graph () + tb = gr.top_block () L = len(channel) # TX @@ -70,16 +70,16 @@ def run_test (fo,fi,interleaver,Kb,bitspersymbol,K,channel,modulation,dimensiona noise = gr.noise_source_f(gr.GR_GAUSSIAN,math.sqrt(N0/2),seed) # RX - (head,tail) = make_rx(fg,fo,fi,dimensionality,tot_constellation,K,interleaver,IT,Es,N0,trellis.TRELLIS_MIN_SUM) + (head,tail) = make_rx(tb,fo,fi,dimensionality,tot_constellation,K,interleaver,IT,Es,N0,trellis.TRELLIS_MIN_SUM) dst = gr.vector_sink_s(); - fg.connect (src,enc_out,inter,mod) - fg.connect (mod,isi,(add,0)) - fg.connect (noise,(add,1)) - fg.connect (add,head) - fg.connect (tail,dst) + 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) - fg.run() + tb.run() data = dst.data() ntotal = len(data) |