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/* -*- c++ -*- */
/*
* Copyright 2004 Free Software Foundation, Inc.
*
* This file is part of GNU Radio
*
* GNU Radio is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2, or (at your option)
* any later version.
*
* GNU Radio is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with GNU Radio; see the file COPYING. If not, write to
* the Free Software Foundation, Inc., 51 Franklin Street,
* Boston, MA 02110-1301, USA.
*/
// WARNING: this file is machine generated. Edits will be over written
#ifdef HAVE_CONFIG_H
#include "config.h"
#endif
#include <trellis_viterbi_combined_i.h>
#include <gr_io_signature.h>
#include <assert.h>
#include <iostream>
static const float INF = 1.0e9;
trellis_viterbi_combined_i_sptr
trellis_make_viterbi_combined_i (
const fsm &FSM,
int K,
int S0,
int SK,
int D,
const std::vector<float> &TABLE,
trellis_metric_type_t TYPE)
{
return trellis_viterbi_combined_i_sptr (new trellis_viterbi_combined_i (FSM,K,S0,SK,D,TABLE,TYPE));
}
trellis_viterbi_combined_i::trellis_viterbi_combined_i (
const fsm &FSM,
int K,
int S0,
int SK,
int D,
const std::vector<float> &TABLE,
trellis_metric_type_t TYPE)
: gr_block ("viterbi_combined_i",
gr_make_io_signature (1, -1, sizeof (float)),
gr_make_io_signature (1, -1, sizeof (int))),
d_FSM (FSM),
d_K (K),
d_S0 (S0),
d_SK (SK),
d_D (D),
d_TABLE (TABLE),
d_TYPE (TYPE)//,
//d_trace(FSM.S()*K)
{
set_relative_rate (1.0 / ((double) d_D));
set_output_multiple (d_K);
}
void
trellis_viterbi_combined_i::forecast (int noutput_items, gr_vector_int &ninput_items_required)
{
assert (noutput_items % d_K == 0);
int input_required = d_D * noutput_items ;
unsigned ninputs = ninput_items_required.size();
for (unsigned int i = 0; i < ninputs; i++) {
ninput_items_required[i] = input_required;
}
}
void viterbi_algorithm_combined(int I, int S, int O,
const std::vector<int> &NS,
const std::vector<int> &OS,
const std::vector< std::vector<int> > &PS,
const std::vector< std::vector<int> > &PI,
int K,
int S0,int SK,
int D,
const std::vector<float> &TABLE,
trellis_metric_type_t TYPE,
const float *in, int *out)//,
//std::vector<int> &trace)
{
std::vector<int> trace(S*K);
std::vector<float> alpha(S*2);
float *metric = new float[O];
int alphai;
float norm,mm,minm;
int minmi;
int st;
if(S0<0) { // initial state not specified
for(int i=0;i<S;i++) alpha[0*S+i]=0;
}
else {
for(int i=0;i<S;i++) alpha[0*S+i]=INF;
alpha[0*S+S0]=0.0;
}
alphai=0;
for(int k=0;k<K;k++) {
calc_metric(O, D, TABLE, &(in[k*D]), metric,TYPE); // calc metrics
norm=INF;
for(int j=0;j<S;j++) { // for each next state do ACS
minm=INF;
minmi=0;
for(unsigned int i=0;i<PS[j].size();i++) {
//int i0 = j*I+i;
if((mm=alpha[alphai*S+PS[j][i]]+metric[OS[PS[j][i]*I+PI[j][i]]])<minm)
minm=mm,minmi=i;
}
trace[k*S+j]=minmi;
alpha[((alphai+1)%2)*S+j]=minm;
if(minm<norm) norm=minm;
}
for(int j=0;j<S;j++)
alpha[((alphai+1)%2)*S+j]-=norm; // normalize total metrics so they do not explode
alphai=(alphai+1)%2;
}
if(SK<0) { // final state not specified
minm=INF;
minmi=0;
for(int i=0;i<S;i++)
if((mm=alpha[alphai*S+i])<minm) minm=mm,minmi=i;
st=minmi;
}
else {
st=SK;
}
for(int k=K-1;k>=0;k--) { // traceback
int i0=trace[k*S+st];
out[k]= (int) PI[st][i0];
st=PS[st][i0];
}
delete [] metric;
}
int
trellis_viterbi_combined_i::general_work (int noutput_items,
gr_vector_int &ninput_items,
gr_vector_const_void_star &input_items,
gr_vector_void_star &output_items)
{
assert (input_items.size() == output_items.size());
int nstreams = input_items.size();
assert (noutput_items % d_K == 0);
int nblocks = noutput_items / d_K;
for (int m=0;m<nstreams;m++) {
const float *in = (const float *) input_items[m];
int *out = (int *) output_items[m];
for (int n=0;n<nblocks;n++) {
viterbi_algorithm_combined(d_FSM.I(),d_FSM.S(),d_FSM.O(),d_FSM.NS(),d_FSM.OS(),d_FSM.PS(),d_FSM.PI(),d_K,d_S0,d_SK,d_D,d_TABLE,d_TYPE,&(in[n*d_K*d_D]),&(out[n*d_K]));//,d_trace);
}
}
consume_each (d_D * noutput_items );
return noutput_items;
}
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