1 files changed, 0 insertions, 92 deletions
diff --git a/gr-trellis/doc/test_tcm.py b/gr-trellis/doc/test_tcm.py
deleted file mode 100644
index 8c046d697..000000000
--- a/gr-trellis/doc/test_tcm.py
+++ /dev/null
@@ -1,92 +0,0 @@
-#!/usr/bin/env python
-
-from gnuradio import gr
-from gnuradio import audio
-from gnuradio import trellis, digital
-from gnuradio import eng_notation
-import math
-import sys
-import random
-import fsm_utils
-
-def run_test (f,Kb,bitspersymbol,K,dimensionality,constellation,N0,seed):
-    tb = gr.top_block ()
-
-    # 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
-    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,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
-    dst = gr.check_lfsr_32k_s();
-
-    tb.connect (src,src_head,s2fsmi,enc,mod)
-    tb.connect (mod,(add,0))
-    tb.connect (noise,(add,1))
-    tb.connect (add,metrics)
-    tb.connect (metrics,va,fsmi2s,dst)
-
-    tb.run()
-
-    # A bit of cheating: run the program once and print the
-    # 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 ()
-    return (ntotal,ntotal-nright)
-
-
-def main(args):
-    nargs = len (args)
-    if nargs == 3:
-        fname=args[0]
-        esn0_db=float(args[1]) # Es/No in dB
-        rep=int(args[2]) # number of times the experiment is run to collect enough errors
-    else:
-        sys.stderr.write ('usage: test_tcm.py fsm_fname Es/No_db  repetitions\n')
-        sys.exit (1)
-
-    # system parameters
-    f=trellis.fsm(fname) # get the FSM specification from a file
-    Kb=1024*16  # packet size in bits (make it multiple of 16 so it can be packed in a short)
-    bitspersymbol = int(round(math.log(f.I())/math.log(2))) # bits per FSM input symbol
-    K=Kb/bitspersymbol # packet size in trellis steps
-    modulation = fsm_utils.psk4 # see fsm_utlis.py for available predefined modulations
-    dimensionality = modulation[0]
-    constellation = modulation[1]
-    if len(constellation)/dimensionality != f.O():
-        sys.stderr.write ('Incompatible FSM output cardinality and modulation size.\n')
-        sys.exit (1)
-    # calculate average symbol energy
-    Es = 0
-    for i in range(len(constellation)):
-        Es = Es + constellation[i]**2
-    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):
-        (s,e)=run_test(f,Kb,bitspersymbol,K,dimensionality,constellation,N0,-long(666+i)) # run experiment with different seed to get different noise realizations
-        tot_s=tot_s+s
-        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) error rate
-    print tot_s,terr_s, '%e' % ((1.0*terr_s)/tot_s)
-
-
-if __name__ == '__main__':
-    main (sys.argv[1:])