/* static */
bool CTC::ComputeCTCTargets(const GenericVector<int>& labels, int null_char,
const GENERIC_2D_ARRAY<float>& outputs,
NetworkIO* targets) {
std::unique_ptr<CTC> ctc(new CTC(labels, null_char, outputs));
if (!ctc->ComputeLabelLimits()) {
return false; // Not enough time.
}
// Generate simple targets purely from the truth labels by spreading them
// evenly over time.
GENERIC_2D_ARRAY<float> simple_targets;
ctc->ComputeSimpleTargets(&simple_targets);
// Add the simple targets as a starter bias to the network outputs.
float bias_fraction = ctc->CalculateBiasFraction();
simple_targets *= bias_fraction;
ctc->outputs_ += simple_targets;
NormalizeProbs(&ctc->outputs_);
// Run regular CTC on the biased outputs.
// Run forward and backward
GENERIC_2D_ARRAY<double> log_alphas, log_betas;
ctc->Forward(&log_alphas);
ctc->Backward(&log_betas);
// Normalize and come out of log space with a clipped softmax over time.
log_alphas += log_betas;
ctc->NormalizeSequence(&log_alphas);
ctc->LabelsToClasses(log_alphas, targets);
NormalizeProbs(targets);
return true;
}
void TDSPPsk::InitSymbols() {
Double_t pi2 = 2*TMath::Pi();
for(Int_t i=0;i<fNumSymbols;++i) {
// Book the PSK-Symbols
//
Double_t t=i*pi2;
t/=fNumSymbols;
Double_t cosine = TMath::Cos(t);
Double_t sine = TMath::Sin(t);
// not nice
if (TMath::Abs(cosine)<1.e-15) cosine=0;
if ( TMath::Abs(sine)<1.e-15) sine=0;
fSymbols[i] = TComplex(cosine,sine);
// Flat props for Generation
//
fProbs[i] = 1;
// Init the Sigmas for Detection
fDetectSigmas[i] = 1;
}
NormalizeProbs();
}
