Verylong operator* (const Verylong &u, const Verylong &v)
{
Verylong pprod("1"), tempsum("0");
for (int j=0; j<v.vlen; j++)
{
int digit = v.vlstr[j] - '0';
pprod = u.multdigit(digit);
pprod = pprod.mult10(j);
tempsum += pprod;
}
tempsum.vlsign = u.vlsign ^ v.vlsign;
return tempsum;
}
void _Estepbfactor(vector<double> &expected, vector<double> &r1, vector<double> &ri,
const NumericMatrix &itemtrace, const vector<double> &prior, const vector<double> &Priorbetween,
const vector<int> &r, const int &ncores, const IntegerMatrix &data, const IntegerMatrix &sitems,
const vector<double> &Prior)
{
#ifdef SUPPORT_OPENMP
omp_set_num_threads(ncores);
#endif
const int sfact = sitems.ncol();
const int nitems = data.ncol();
const int npquad = prior.size();
const int nbquad = Priorbetween.size();
const int nquad = nbquad * npquad;
const int npat = r.size();
vector<double> r1vec(nquad*nitems*sfact, 0.0);
#pragma omp parallel for
for (int pat = 0; pat < npat; ++pat){
vector<double> L(nquad), Elk(nbquad*sfact), posterior(nquad*sfact);
vector<double> likelihoods(nquad*sfact, 1.0);
for (int fact = 0; fact < sfact; ++fact){
for (int item = 0; item < nitems; ++item){
if (data(pat,item) && sitems(item,fact))
for (int k = 0; k < nquad; ++k)
likelihoods[k + nquad*fact] = likelihoods[k + nquad*fact] * itemtrace(k,item);
}
}
vector<double> Plk(nbquad*sfact);
for (int fact = 0; fact < sfact; ++fact){
int k = 0;
for (int q = 0; q < npquad; ++q){
for (int i = 0; i < nbquad; ++i){
L[k] = likelihoods[k + nquad*fact] * prior[q];
++k;
}
}
vector<double> tempsum(nbquad, 0.0);
for (int i = 0; i < npquad; ++i)
for (int q = 0; q < nbquad; ++q)
tempsum[q] += L[q + i*nbquad];
for (int i = 0; i < nbquad; ++i)
Plk[i + fact*nbquad] = tempsum[i];
}
vector<double> Pls(nbquad, 1.0);
for (int i = 0; i < nbquad; ++i){
for(int fact = 0; fact < sfact; ++fact)
Pls[i] = Pls[i] * Plk[i + fact*nbquad];
expected[pat] += Pls[i] * Priorbetween[i];
}
for (int fact = 0; fact < sfact; ++fact)
for (int i = 0; i < nbquad; ++i)
Elk[i + fact*nbquad] = Pls[i] / Plk[i + fact*nbquad];
for (int fact = 0; fact < sfact; ++fact)
for (int i = 0; i < nquad; ++i)
posterior[i + nquad*fact] = likelihoods[i + nquad*fact] * r[pat] * Elk[i % nbquad + fact*nbquad] /
expected[pat];
#pragma omp critical
for (int i = 0; i < nbquad; ++i)
ri[i] += Pls[i] * r[pat] * Priorbetween[i] / expected[pat];
for (int item = 0; item < nitems; ++item)
if (data(pat,item))
for (int fact = 0; fact < sfact; ++fact)
for(int q = 0; q < nquad; ++q)
r1vec[q + fact*nquad*nitems + nquad*item] += posterior[q + fact*nquad];
} //end main
for (int item = 0; item < nitems; ++item)
for (int fact = 0; fact < sfact; ++fact)
if(sitems(item, fact))
for(int q = 0; q < nquad; ++q)
r1[q + nquad*item] = r1vec[q + nquad*item + nquad*nitems*fact] * Prior[q];
}
bool Reed_Solomon::decode(const bvec &coded_bits, const ivec &erasure_positions, bvec &decoded_message, bvec &cw_isvalid)
{
bool decoderfailure, no_dec_failure;
int j, i, kk, l, L, foundzeros, iterations = floor_i(static_cast<double>(coded_bits.length()) / (n * m));
bvec mbit(m * k);
decoded_message.set_size(iterations * k * m, false);
cw_isvalid.set_length(iterations);
GFX rx(q, n - 1), cx(q, n - 1), mx(q, k - 1), ex(q, n - 1), S(q, 2 * t), Xi(q, 2 * t), Gamma(q), Lambda(q),
Psiprime(q), OldLambda(q), T(q), Omega(q);
GFX dummy(q), One(q, (char*)"0"), Omegatemp(q);
GF delta(q), tempsum(q), rtemp(q), temp(q), Xk(q), Xkinv(q);
ivec errorpos;
if ( erasure_positions.length() ) {
it_assert(max(erasure_positions) < iterations*n, "Reed_Solomon::decode: erasure position is invalid.");
}
no_dec_failure = true;
for (i = 0; i < iterations; i++) {
decoderfailure = false;
//Fix the received polynomial r(x)
for (j = 0; j < n; j++) {
rtemp.set(q, coded_bits.mid(i * n * m + j * m, m));
rx[j] = rtemp;
}
// Fix the Erasure polynomial Gamma(x)
// and replace erased coordinates with zeros
rtemp.set(q, -1);
ivec alphapow = - ones_i(2);
Gamma = One;
for (j = 0; j < erasure_positions.length(); j++) {
rx[erasure_positions(j)] = rtemp;
alphapow(1) = erasure_positions(j);
Gamma *= (One - GFX(q, alphapow));
}
//Fix the syndrome polynomial S(x).
S.clear();
for (j = 1; j <= 2 * t; j++) {
S[j] = rx(GF(q, b + j - 1));
}
// calculate the modified syndrome polynomial Xi(x) = Gamma * (1+S) - 1
Xi = Gamma * (One + S) - One;
// Apply Berlekam-Massey algorithm
if (Xi.get_true_degree() >= 1) { //Errors in the received word
// Iterate to find Lambda(x), which hold all error locations
kk = 0;
Lambda = One;
L = 0;
T = GFX(q, (char*)"-1 0");
while (kk < 2 * t) {
kk = kk + 1;
tempsum = GF(q, -1);
for (l = 1; l <= L; l++) {
tempsum += Lambda[l] * Xi[kk - l];
}
delta = Xi[kk] - tempsum;
if (delta != GF(q, -1)) {
OldLambda = Lambda;
Lambda -= delta * T;
if (2 * L < kk) {
L = kk - L;
T = OldLambda / delta;
}
}
T = GFX(q, (char*)"-1 0") * T;
}
// Find the zeros to Lambda(x)
errorpos.set_size(Lambda.get_true_degree());
foundzeros = 0;
for (j = q - 2; j >= 0; j--) {
if (Lambda(GF(q, j)) == GF(q, -1)) {
errorpos(foundzeros) = (n - j) % n;
foundzeros += 1;
if (foundzeros >= Lambda.get_true_degree()) {
break;
}
}
}
if (foundzeros != Lambda.get_true_degree()) {
decoderfailure = true;
}
else { // Forney algorithm...
//Compute Omega(x) using the key equation for RS-decoding
Omega.set_degree(2 * t);
Omegatemp = Lambda * (One + Xi);
for (j = 0; j <= 2 * t; j++) {
Omega[j] = Omegatemp[j];
}
//Find the error/erasure magnitude polynomial by treating them the same
Psiprime = formal_derivate(Lambda*Gamma);
errorpos = concat(errorpos, erasure_positions);
ex.clear();
for (j = 0; j < errorpos.length(); j++) {
Xk = GF(q, errorpos(j));
Xkinv = GF(q, 0) / Xk;
// we calculate ex = - error polynomial, in order to avoid the
// subtraction when recunstructing the corrected codeword
ex[errorpos(j)] = (Xk * Omega(Xkinv)) / Psiprime(Xkinv);
if (b != 1) { // non-narrow-sense code needs corrected error magnitudes
int correction_exp = ( errorpos(j)*(1-b) ) % n;
ex[errorpos(j)] *= GF(q, correction_exp + ( (correction_exp < 0) ? n : 0 ));
}
}
//Reconstruct the corrected codeword.
// instead of subtracting the error/erasures, we calculated
// the negative error with 'ex' above
cx = rx + ex;
//Code word validation
S.clear();
for (j = 1; j <= 2 * t; j++) {
S[j] = cx(GF(q, b + j - 1));
}
if (S.get_true_degree() >= 1) {
decoderfailure = true;
}
}
}
else {
cx = rx;
decoderfailure = false;
}
//Find the message polynomial
mbit.clear();
if (decoderfailure == false) {
if (cx.get_true_degree() >= 1) { // A nonzero codeword was transmitted
if (systematic) {
for (j = 0; j < k; j++) {
mx[j] = cx[j];
}
}
else {
mx = divgfx(cx, g);
}
for (j = 0; j <= mx.get_true_degree(); j++) {
mbit.replace_mid(j * m, mx[j].get_vectorspace());
}
}
}
else { //Decoder failure.
// for a systematic code it is better to extract the undecoded message
// from the received code word, i.e. obtaining a bit error
// prob. p_b << 1/2, than setting all-zero (p_b = 1/2)
if (systematic) {
mbit = coded_bits.mid(i * n * m, k * m);
}
else {
mbit = zeros_b(k);
}
no_dec_failure = false;
}
decoded_message.replace_mid(i * m * k, mbit);
cw_isvalid(i) = (!decoderfailure);
}
return no_dec_failure;
}
