MayaFlux 0.2.0
Digital-First Multimedia Processing Framework
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◆ process_batch()

void MayaFlux::Nodes::Network::ResonatorNetwork::process_batch ( unsigned int  num_samples)
overridevirtual

Processes num_samples through all resonators and accumulates output.

Parameters
num_samplesNumber of audio samples to compute

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.

Implements MayaFlux::Nodes::Network::NodeNetwork.

Definition at line 205 of file ResonatorNetwork.cpp.

206{
207 if (m_resonators.empty()) {
208 m_last_audio_buffer.assign(num_samples, 0.0);
209 return;
210 }
211
213
214 m_last_audio_buffer.assign(num_samples, 0.0);
215 const double norm = 1.0 / static_cast<double>(m_resonators.size());
216
217 m_node_buffers.assign(m_resonators.size(), {});
218 for (auto& nb : m_node_buffers)
219 nb.reserve(num_samples);
220
221 std::vector<std::optional<std::span<const double>>> net_exc_bufs;
222 if (m_network_exciter) {
223 net_exc_bufs.reserve(m_resonators.size());
224 for (size_t ri = 0; ri < m_resonators.size(); ++ri)
225 net_exc_bufs.push_back(m_network_exciter->get_node_audio_buffer(ri));
226 }
227
228 for (size_t s = 0; s < num_samples; ++s) {
229 for (size_t ri = 0; ri < m_resonators.size(); ++ri) {
230 auto& r = m_resonators[ri];
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];
237 } else if (m_exciter) {
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;
243 m_node_buffers[ri].push_back(out);
244 m_last_audio_buffer[s] += out * norm;
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::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)

References MayaFlux::Nodes::Network::NodeNetwork::apply_output_scale(), m_exciter, m_last_audio_buffer, m_network_exciter, m_node_buffers, m_resonators, and update_mapped_parameters().

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