diff options
Diffstat (limited to 'gr-trellis/examples/python/test_viterbi_equalization.py')
| -rwxr-xr-x | gr-trellis/examples/python/test_viterbi_equalization.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/gr-trellis/examples/python/test_viterbi_equalization.py b/gr-trellis/examples/python/test_viterbi_equalization.py index 21236d2870..f83125136c 100755 --- a/gr-trellis/examples/python/test_viterbi_equalization.py +++ b/gr-trellis/examples/python/test_viterbi_equalization.py @@ -19,7 +19,7 @@ def run_test (f,Kb,bitspersymbol,K,dimensionality,tot_constellation,N0,seed): # TX src = gr.lfsr_32k_source_s() src_head = gr.head (gr.sizeof_short,Kb/16) # packet size in shorts - s2fsmi = gr.packed_to_unpacked_ss(bitspersymbol,gr.GR_MSB_FIRST) # unpack shorts to symbols compatible with the FSM input cardinality + s2fsmi = blocks.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 # essentially here we implement the combination of modulation and channel as a memoryless modulation (the memory induced by the channel is hidden in the FSM) mod = digital.chunks_to_symbols_sf(tot_constellation,dimensionality) @@ -31,7 +31,7 @@ def run_test (f,Kb,bitspersymbol,K,dimensionality,tot_constellation,N0,seed): # RX metrics = trellis.metrics_f(f.O(),dimensionality,tot_constellation,digital.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 + fsmi2s = blocks.unpacked_to_packed_ss(bitspersymbol,gr.GR_MSB_FIRST) # pack FSM input symbols to shorts dst = gr.check_lfsr_32k_s(); tb.connect (src,src_head,s2fsmi,enc,mod) |