1 files changed, 0 insertions, 126 deletions
diff --git a/gr-trellis/src/examples/python/test_tcm.py b/gr-trellis/src/examples/python/test_tcm.py
deleted file mode 100755
index a7d6a02d0..000000000
--- a/gr-trellis/src/examples/python/test_tcm.py
+++ /dev/null
@@ -1,126 +0,0 @@
-#!/usr/bin/env python
-
-from gnuradio import gr
-from gnuradio import trellis, digital
-from gnuradio import eng_notation
-import math
-import sys
-import random
-import fsm_utils
-from gnuradio.eng_option import eng_option
-from optparse import OptionParser
-
-def run_test (f,Kb,bitspersymbol,K,dimensionality,constellation,N0,seed):
-    tb = gr.top_block ()
-
-
-    # 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,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
-    #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()
-
-
-    tb.connect (src,src_head,s2fsmi,enc,mod)
-    #tb.connect (src,b2s,s2fsmi,enc,mod)
-    tb.connect (mod,(add,0))
-    tb.connect (noise,(add,1))
-    tb.connect (add,metrics)
-    tb.connect (metrics,va,fsmi2s,dst)
-    #tb.connect (metrics,va,fsmi2s,s2b,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 ()
-    #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():
-    parser = OptionParser(option_class=eng_option)
-    parser.add_option("-f", "--fsm_file", type="string", default="fsm_files/awgn1o2_4.fsm", help="Filename containing the fsm specification, e.g. -f fsm_files/awgn1o2_4.fsm (default=fsm_files/awgn1o2_4.fsm)")
-    parser.add_option("-e", "--esn0", type="eng_float", default=10.0, help="Symbol energy to noise PSD level ratio in dB, e.g., -e 10.0 (default=10.0)")
-    parser.add_option("-r", "--repetitions", type="int", default=100, help="Number of packets to be generated for the simulation, e.g., -r 100 (default=100)")
-
-    (options, args) = parser.parse_args ()
-    if len(args) != 0:
-        parser.print_help()
-        raise SystemExit, 1
-
-    fname=options.fsm_file
-    esn0_db=float(options.esn0)
-    rep=int(options.repetitions)
-
-    # system parameters
-    f=trellis.fsm(fname) # get the FSM specification from a file
-    # alternatively you can specify the fsm from its generator matrix
-    #f=trellis.fsm(1,2,[5,7])
-    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); # calculate noise variance
-
-    tot_s=0 # total number of transmitted shorts
-    terr_s=0 # total number of shorts in error
-    terr_p=0 # total number of packets in error
-    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
-        terr_p=terr_p+(terr_s!=0)
-        if ((i+1)%100==0) : # display progress
-            print i+1,terr_p, '%.2e' % ((1.0*terr_p)/(i+1)),tot_s,terr_s, '%.2e' % ((1.0*terr_s)/tot_s)
-    # estimate of the (short or bit) error rate
-    print rep,terr_p, '%.2e' % ((1.0*terr_p)/(i+1)),tot_s,terr_s, '%.2e' % ((1.0*terr_s)/tot_s)
-
-
-
-if __name__ == '__main__':
-    main()