pulp::signal::SpectralFeatureFrontEndT< SampleType, MaxFftSize, MaxChannels > Class Template Reference

Fixed-capacity streaming centroid, flatness, rolloff, and flux analysis. More...

#include <spectral_feature_frontends.hpp>

Public Types
using	Frame = SpectralFeatureFrameT<SampleType>

Public Member Functions
bool	prepare (const StreamingAnalysisConfig &config)
void	reset () noexcept
template<typename Sink>
bool	process (const SampleType *const *channels, std::size_t channel_count, std::size_t frames, Sink &&sink) noexcept
const Frame &	current () const noexcept
std::uint32_t	algorithmic_latency_samples () const noexcept
std::uint32_t	startup_samples () const noexcept
std::uint64_t	retained_fft_bytes () const noexcept

Detailed Description

template<typename SampleType = float, std::size_t MaxFftSize = 4096, std::size_t MaxChannels = 8>
class pulp::signal::SpectralFeatureFrontEndT< SampleType, MaxFftSize, MaxChannels >

Fixed-capacity streaming centroid, flatness, rolloff, and flux analysis.

This reuses the shared StreamingAnalysisWindowT FFT owner with its symmetric Hann window. prepare() is control-thread work and may allocate only inside FftT. After a successful prepare, reset() and process() allocate nothing. The instance and its nothrow sink have one processing-thread owner; callers publish copied frames across threads. Rolloff is the first bin containing 85% of spectral power. Flux is the Euclidean distance between consecutive unit-sum magnitude spectra, divided by sqrt(2), so gain-only changes do not become modulation.

Member Typedef Documentation

Frame

template<typename SampleType = float, std::size_t MaxFftSize = 4096, std::size_t MaxChannels = 8>

using pulp::signal::SpectralFeatureFrontEndT< SampleType, MaxFftSize, MaxChannels >::Frame = SpectralFeatureFrameT<SampleType>

Member Function Documentation

algorithmic_latency_samples()

template<typename SampleType = float, std::size_t MaxFftSize = 4096, std::size_t MaxChannels = 8>

std::uint32_t pulp::signal::SpectralFeatureFrontEndT< SampleType, MaxFftSize, MaxChannels >::algorithmic_latency_samples ( ) const

inlinenodiscardnoexcept

current()

template<typename SampleType = float, std::size_t MaxFftSize = 4096, std::size_t MaxChannels = 8>

const Frame & pulp::signal::SpectralFeatureFrontEndT< SampleType, MaxFftSize, MaxChannels >::current ( ) const

inlinenodiscardnoexcept

prepare()

template<typename SampleType = float, std::size_t MaxFftSize = 4096, std::size_t MaxChannels = 8>

bool pulp::signal::SpectralFeatureFrontEndT< SampleType, MaxFftSize, MaxChannels >::prepare ( const StreamingAnalysisConfig & config )

inlinenodiscard

process()

template<typename SampleType = float, std::size_t MaxFftSize = 4096, std::size_t MaxChannels = 8>

template<typename Sink>

bool pulp::signal::SpectralFeatureFrontEndT< SampleType, MaxFftSize, MaxChannels >::process ( const SampleType *const * channels, std::size_t channel_count, std::size_t frames, Sink && sink )

inlinenodiscardnoexcept

reset()

template<typename SampleType = float, std::size_t MaxFftSize = 4096, std::size_t MaxChannels = 8>

void pulp::signal::SpectralFeatureFrontEndT< SampleType, MaxFftSize, MaxChannels >::reset ( )

inlinenoexcept

retained_fft_bytes()

template<typename SampleType = float, std::size_t MaxFftSize = 4096, std::size_t MaxChannels = 8>

std::uint64_t pulp::signal::SpectralFeatureFrontEndT< SampleType, MaxFftSize, MaxChannels >::retained_fft_bytes ( ) const

inlinenodiscardnoexcept

startup_samples()

template<typename SampleType = float, std::size_t MaxFftSize = 4096, std::size_t MaxChannels = 8>

std::uint32_t pulp::signal::SpectralFeatureFrontEndT< SampleType, MaxFftSize, MaxChannels >::startup_samples ( ) const

inlinenodiscardnoexcept

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The documentation for this class was generated from the following file:

• /home/runner/work/pulp/pulp/core/signal/include/pulp/signal/spectral_feature_frontends.hpp