/*
The weight (of the reverse code) of the transition from given state with
the input given
*/
int Convolutional_Code::weight_reverse(const int state, const int input)
{
int i, j, temp, out, w = 0, shiftreg = state;
shiftreg = shiftreg | (input << m);
for (j = 0; j < n; j++) {
out = 0;
temp = shiftreg & gen_pol_rev(j);
for (i = 0; i < K; i++) {
out ^= (temp & 1);
temp = temp >> 1;
}
w += out;
//w += weight_int_table(temp);
}
return w;
}
/*
The weight (of the reverse code) of the two paths (input 0 or 1) from
given state
*/
void Convolutional_Code::weight_reverse(const int state, int &w0, int &w1)
{
int i, j, temp, out, shiftreg = state;
w0 = 0;
w1 = 0;
shiftreg = shiftreg | (1 << m);
for (j = 0; j < n; j++) {
out = 0;
temp = shiftreg & gen_pol_rev(j);
for (i = 0; i < m; i++) {
out ^= (temp & 1);
temp = temp >> 1;
}
w0 += out;
w1 += out ^(temp & 1);
}
}
int Punctured_Convolutional_Code::weight_reverse(int state, int input, int time)
{
if (puncture_matrix.size() == 0) {
it_error("Punctured_Convolutional_Code::weight_reverse(int, int, int); Set puncturing matrix before.");
}
int i, j, temp, out, w = 0, shiftreg = state;
shiftreg = shiftreg | (int(input) << m);
for (j = 0; j < n; j++) {
if (puncture_matrix(j, Period - 1 - time) == bin(1)) {
out = 0;
temp = shiftreg & gen_pol_rev(j);
for (i = 0; i < K; i++) {
out ^= (temp & 1);
temp = temp >> 1;
}
w += out;
}
}
