Processes num_samples through all resonators and accumulates output.
For each sample, each resonator draws from its individual exciter (or the network-level exciter, or zero if none) and processes one sample. All resonator outputs are summed and normalised into m_last_audio_buffer.
206{
209 return;
210 }
211
213
215 const double norm = 1.0 /
static_cast<double>(
m_resonators.size());
216
219 nb.reserve(num_samples);
220
221 std::vector<std::optional<std::span<const double>>> net_exc_bufs;
226 }
227
228 for (size_t s = 0; s < num_samples; ++s) {
231 double excitation = 0.0;
232
233 if (r.exciter) {
234 excitation = r.exciter->process_sample(0.0);
235 } else if (!net_exc_bufs.empty() && net_exc_bufs[ri] && s < net_exc_bufs[ri]->size()) {
236 excitation = (*net_exc_bufs[ri])[s];
238 excitation =
m_exciter->process_sample(0.0);
239 }
240
241 const double out = r.filter->process_sample(excitation) * r.gain;
242 r.last_output = out;
245 }
246 }
247
249}
void apply_output_scale()
Apply m_output_scale to m_last_audio_buffer.
std::vector< double > m_last_audio_buffer
Mixed output from last process_batch()
std::vector< std::vector< double > > m_node_buffers
Per-resonator sample buffers populated each process_batch()
std::vector< ResonatorNode > m_resonators
std::shared_ptr< Node > m_exciter
networ-level shared exciter (may be nullptr)
void update_mapped_parameters()
Apply all registered parameter mappings for the current cycle.
std::shared_ptr< NodeNetwork > m_network_exciter
Optional NodeNetwork exciter for ONE_TO_ONE mapping (may be nullptr)