Gaborator reference: gaborator.h

class gaborator::parameters

A parameters object holds a set of spectrum analysis parameters.

Constructor

gaborator::parameters::parameters(unsigned int bands_per_octave,
                                  double ff_min,
                                  double ff_ref = 1.0)
bands_per_octave
The number of frequency bands per octave. Values from 6 to 384 (inclusive) are supported. Values outside this range may not work, or may cause degraded performance.
ff_min
The lower limit of the analysis frequency range, in units of the sample rate. The analysis filter bank will extend low enough in frequency that ff_min falls between the two lowest frequency bandpass filters. Values from 0.001 to 0.13 are supported.
ff_ref
The reference frequency, in units of the sample rate. This allows fine-tuning of the analysis and synthesis filter banks such that the center frequency of one of the filters is aligned with ff_ref. If ff_ref falls outside the frequency range of the filter bank, this works as if the range were extended to include ff_ref. Must be positive. A typical value when analyzing music is 440.0 / fs, where fs is the sample rate in Hz.

Comparison

Comparison operators are provided for compatibility with standard container classes. The ordering is arbitrary but consistent.

bool gaborator::parameters::operator<(const gaborator::parameters &rhs) const
bool gaborator::parameters::operator==(const gaborator::parameters &rhs) const

template<class T> class gaborator::coefs

A coefs object stores a set of spectrogram coefficients. It is a dynamic data structure and will be automatically grown to accommodate new time ranges as they are analyzed by calling analyzer::analyze(). The template argument T must match that of the analyzer (usually float).

Constructor

gaborator::coefs::coefs(gaborator::analyzer &a)

Construct an empty set of coefficients for use with the spectrum analyzer a. This represents a signal that is zero at all points in time.

template<class T> class gaborator::analyzer

The analyzer object performs spectrum analysis and/or resynthesis according to the given parameters. The template argument T is the floating-point type to use for the calculations. This is typically float; alternatively, double can be used for increased accuracy at the expense of speed and memory consumption.

Constructor

gaborator::analyzer::analyzer(const gaborator::parameters &params)
params
The spectrum analysis parameters.

Analysis and synthesis

void
gaborator::analyzer::analyze(const T *signal,
                     int64_t t0,
                     int64_t t1,
                     gaborator::coefs<T> &coefs) const

Spectrum analyze the samples at *signal and add the resulting coefficients to coefs.

signal
The signal samples to analyze, beginning with the sample from time t0 and ending with the last sample before time t1, for a total of t1 - t0 samples.
t0
The point in time when the sample at signal[0] was taken, in samples. By convention, this is 0 for the first sample in the audio track, but this reference point is arbitrary, and negative times are valid. Accuracy begins to successively decrease outside the range of about ±108 samples, so using large time values should be avoided when they are not necessary because of the length of the track.
t1
The point in time of the sample one past the end of the array of samples at signal, in samples.
coefs
The coefficient object that the results of the spectrum analysis are added to.

If the coefs object already contains some coefficients, the new coefficients are summed to those already present. Because the analysis is a linear operation, this allows a signal to be analyzed in parts, by making multiple calls to analyze() with non-overlapping ranges that together cover the entire signal. For efficiency, the ranges should preferably be large and aligned on multiples of a large powers of two, as in analyze(first_131072_samples, 0, 131072, coefs), analyze(next_131072_samples, 131072, 262144, coefs), etc.

void
gaborator::analyzer::synthesize(const gaborator::coefs<T> &coefs,
                                uint64_t t0,
                                uint64_t t1,
                                T *signal) const

Synthesize signal samples from the coefficients coef and store them at *signal.

coefs
The coefficients to synthesize the signal from.
t0
The point in time of the first sample to synthesize, in samples, using the same time scale as in analyze().
t0
The point in time of the sample one past the last one to synthesize.
signal
The synthesized signal samples will be written here, beginning with the sample from time t0 and and ending with the last sample before time t1, for a total of t1 - t0 samples.

The time range t0...t1 may extend outside the range analyzed using analyze(), in which case the signal is assumed to be zero in the un-analyzed range.

Frequency Band Numbering

The frequency bands of the analysis filter bank are numbered by nonnegative integers that increase towards lower (sic) frequencies. There is a number of bandpass bands corresponding to the logarithmically spaced bandpass analysis filters, from near 0.5 (half the sample rate) to near fmin, and a single lowpass band containing the residual signal from frequencies below fmin. The numbering can be examined using the following methods:

int gaborator::analyzer::bandpass_bands_begin() const

Return the smallest valid bandpass band number, corresponding to the highest-frequency bandpass filter.

int gaborator::analyzer::bandpass_bands_end() const

Return the bandpass band number one past the highest valid bandpass band number, corresponding to one past the lowest-frequency bandpass filter.

int gaborator::analyzer::band_lowpass() const

Return the band number of the lowpass band.

double gaborator::analyzer::band_ff(int band) const

Return the center frequency of band number band, in units of the sampling frequency.

Support

double gaborator::analyzer::analysis_support() const

Returns the one-sided worst-case support of any of the analysis filters. When calling analyze() with a sample at time t, only spectrogram coefficients within the time range t ± support will be significantly changed. Coefficients outside the range may change, but the changes will sufficiently small that they may be ignored without significantly reducing accuracy.

double gaborator::analyzer::synthesis_support() const

Returns the one-sided worst-case support of any of the reconstruction filters. When calling synthesize() to synthesize a sample at time t, the sample will only be significantly affected by spectrogram coefficients in the time range t ± support. Coefficients outside the range may be used in the synthesis, but substituting zeroes for the actual coefficient values will not significantly reduce accuracy.

Functions

Iterating Over the Coefficients

template <class T, class F>
void gaborator::apply(const gaborator::analyzer<T> &a,
                      const gaborator::coefs<T> &c,
                      F f)

Apply the function f to each coefficient in the coefficient set c.

a
The spectrum analyzer that produced the coefficients c
c
A set of spectrogram coefficients
f
A function to apply to each coefficient in c, with the call signature
void f(std::complex<float> &coef, int band, int64_t t)
coef
A reference to a single complex coefficient. This may be read and optionally modified in-place.
band
The band number of the frequency band the coefficient coef pertains to. This may be either a bandpass band or the lowpass band.
t
The point in time the coefficient coef pertains to, in samples
template <class T, class F>
void gaborator::apply(const gaborator::analyzer<T> &a,
                      const gaborator::coefs<T> &c,
                      F f,
                      int64_t t0,
                      int64_t t1)

As above, but only apply the function f to the coefficients for points in time t that satisfy t0 <= t < t1.

Forgetting Coefficients

template 
void gaborator::forget_before(const gaborator::analyzer<T> &a,
                              gaborator::coefs<T> &c,
                              int64_t limit)

Allow the coefficients for points in time before limit (a time in units of samples) to be forgotten. Streaming applications can use this to free memory used by coefficients that are no longer needed. Coefficients that have been forgotten will read as zero. This does not guarantee that all coefficients before limit are forgotten, only that ones for limit or later are not, and that the amount of memory consumed by any remaining coefficients before limit is bounded.