process_bidirectional()

void MayaFlux::Nodes::Network::WaveguideNetwork::process_bidirectional ( WaveguideSegment &  seg, unsigned int  num_samples, std::vector< double > &  out  )

private

Definition at line 258 of file WaveguideNetwork.cpp.

{
    const bool continuous = m_exciter_active
        && m_exciter_type == ExciterType::CONTINUOUS && m_exciter_node;
    const double continuous_gain = continuous
        ? 1.0 / seg.loss_factor
        : 1.0;
    DriveLimiter limiter(m_delay_length_integer);
 
    for (unsigned int i = 0; i < num_samples; ++i) {
        const double exciter = generate_exciter_sample();
 
        const double plus_end = read_with_interpolation(
            seg.p_plus, m_delay_length_integer, m_delay_length_fraction);
 
        const double minus_end = read_with_interpolation(
            seg.p_minus, m_delay_length_integer, m_delay_length_fraction);
 
        auto* filt_open = seg.loop_filter_open ? seg.loop_filter_open.get()
                                               : seg.loop_filter.get();
        auto* filt_closed = seg.loop_filter_closed ? seg.loop_filter_closed.get()
                                                   : seg.loop_filter.get();
 
        const double filtered_plus = (!continuous && filt_open)
            ? filt_open->process_sample(plus_end)
            : plus_end;
        const double filtered_minus = (!continuous && filt_closed)
            ? filt_closed->process_sample(minus_end)
            : minus_end;
 
        const double returning = filtered_minus * seg.loss_factor * seg.reflection_closed * continuous_gain;
        const double drive = continuous ? exciter * limiter.gain(seg) : exciter;
 
        seg.p_minus.push(filtered_plus * seg.loss_factor * seg.reflection_open * continuous_gain);
        seg.p_plus.push(drive + returning);
 
        out[i] = observe_sample(seg);
    }
}

References CONTINUOUS, generate_exciter_sample(), MayaFlux::Nodes::Network::WaveguideNetwork::WaveguideSegment::loop_filter, MayaFlux::Nodes::Network::WaveguideNetwork::WaveguideSegment::loop_filter_closed, MayaFlux::Nodes::Network::WaveguideNetwork::WaveguideSegment::loop_filter_open, MayaFlux::Nodes::Network::WaveguideNetwork::WaveguideSegment::loss_factor, m_delay_length_fraction, m_delay_length_integer, m_exciter_active, m_exciter_node, m_exciter_type, observe_sample(), out, MayaFlux::Nodes::Network::WaveguideNetwork::WaveguideSegment::p_minus, MayaFlux::Nodes::Network::WaveguideNetwork::WaveguideSegment::p_plus, MayaFlux::Memory::HistoryBuffer< T >::push(), read_with_interpolation(), MayaFlux::Nodes::Network::WaveguideNetwork::WaveguideSegment::reflection_closed, and MayaFlux::Nodes::Network::WaveguideNetwork::WaveguideSegment::reflection_open.

Referenced by process_batch().

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