signals.h File Reference

#include <fftw3.h>
#include <stdlib.h>
#include <assert.h>
#include <sys/mman.h>
#include <syscall.h>
#include <math.h>
#include "common.h"
#include "memory.h"
#include "files.h"

Include dependency graph for signals.h:

This graph shows which files directly or indirectly include this file:

Classes
class	Sample< Type, Channels >
class	BasicSignal< Type, Channels >
class	Signal< Type, Channels >
class	SignalIO< Type, Channels >
class	Shift< Type, Channels >
class	HalfComplex< Type, Channels >
class	BasicConvertor
class	Fft< Channels >
class	Haar< Input, Output, Channels >
Defines
#define	DECLARE   template <class Type, int Channels>
#define	BASIC   BasicSignal<Type,Channels>
#define	SIGNL   Signal<Type,Channels>
#define	SAMPLE   Sample<Type,Channels>
#define	SHIFT   Shift<Type,Channels>
#define	DECLHAAR   template <class Input, class Output, int Channels>
#define	HAAR   Haar<Input,Output,Channels>
#define	SIO   SignalIO<Type,Channels>
Functions
unsigned4	absolute (signed4 i)
unsigned2	absolute (signed2 i)
float8	absolute (float8 i)
float4	absolute (float4 i)
signed8	higher_power_of_two (signed8 a)
signed8	lower_power_of_two (signed8 a)
float8	find_max (float8 *data, long l)
long	find_max_rpos (unsigned4 *data, long l)
float8	find_mean (float8 *data, long l)
float4	find_mean (float4 *data, long l)
void	vector_mul_div (signed4 *data, long l, signed4 mul, signed4 div)
void	normalize_mean (float8 *data, long l)
void	normalize_mean (float4 *data, long l)
void	translate_mean (float4 *data, long l)
float8	norm (float8 r, float8 e)
void	differentiate (float8 *r, int size)
void	absolute (float8 *r, int size)
void	biased_circular_autocorrelation (float8 *arr, int size)
void	biased_autocorrelation (float8 *arr, int size)
void	unbiased_autocorrelation (float8 *arr, int size)
float8	biased_abs_distance (float8 *a, float8 *b, int size)
float8	unbiased_abs_distance (float8 *a, float8 *b, int size)
float8	biased_l2_distance (float8 *a, float8 *b, int size)
float8	unbiased_l2_distance (float8 *a, float8 *b, int size)
float8	biased_best_abs_circular_distance (float8 *a, float8 *b, int size)
float8	biased_best_l2_circular_distance (float8 *a, float8 *b, int size)
void	energize (float8 *what, float8 length, unsigned4 ws)
float8	Index_to_frequency (unsigned NumSamples, unsigned Index)
template<class type >
type	minimum (type a, type b)
template<class type >
type	normalize_abs_max (type *data, long l)
template<class type >
type	find_abs_max (type *data, long l)

---

Define Documentation

#define BASIC   BasicSignal<Type,Channels>

#define DECLARE   template <class Type, int Channels>

#define DECLHAAR   template <class Input, class Output, int Channels>

#define HAAR   Haar<Input,Output,Channels>

#define SAMPLE   Sample<Type,Channels>

#define SHIFT   Shift<Type,Channels>

#define SIGNL   Signal<Type,Channels>

#define SIO   SignalIO<Type,Channels>

Signal Input & Output

---

Function Documentation

void absolute	(	float8 *	r,
		int	size
	)

References i.

float4 absolute

(

float4

i

)

[inline]

float8 absolute

(

float8

i

)

[inline]

unsigned2 absolute

(

signed2

i

)

[inline]

unsigned4 absolute

(

signed4

i

)

[inline]

General useful functions

float8 biased_abs_distance	(	float8 *	a,
		float8 *	b,
		int	size
	)

References i.

Referenced by biased_best_abs_circular_distance(), and unbiased_abs_distance().

void biased_autocorrelation	(	float8 *	arr,
		int	size
	)

References i.

Referenced by unbiased_autocorrelation().

float8 biased_best_abs_circular_distance	(	float8 *	a,
		float8 *	b,
		int	size
	)

References biased_abs_distance(), and i.

Referenced by histogram_type::best_dist().

float8 biased_best_l2_circular_distance	(	float8 *	a,
		float8 *	b,
		int	size
	)

References biased_l2_distance(), and i.

void biased_circular_autocorrelation	(	float8 *	arr,
		int	size
	)

float8 biased_l2_distance	(	float8 *	a,
		float8 *	b,
		int	size
	)

References i.

Referenced by biased_best_l2_circular_distance(), and unbiased_l2_distance().

void differentiate	(	float8 *	r,
		int	size
	)

References i.

Referenced by histogram_type::cor_dist(), BpmCounter::measure(), and histogram_type::normalize_autocorrelation_diff().

void energize	(	float8 *	what,
		float8	length,
		unsigned4	ws
	)

References assert(), bpmdj_array, bpmdj_deallocate, i, and M.

Referenced by BpmCounter::measure().

template<class type >

type find_abs_max	(	type *	data,
		long	l
	)			[inline]

Referenced by normalize_abs_max(), and histogram_type::normalize_autocorrelation_diff().

float8 find_max	(	float8 *	data,
		long	l
	)

References i.

long find_max_rpos	(	unsigned4 *	data,
		long	l
	)

References i.

float4 find_mean	(	float4 *	data,
		long	l
	)

References i.

float8 find_mean	(	float8 *	data,
		long	l
	)

References i.

Referenced by normalize_mean(), and translate_mean().

signed8 higher_power_of_two

(

signed8

a

)

Referenced by RhythmAnalyzer::calculateRhythmPattern2(), histogram_type::cor_dist(), and histogram_type::normalize_autocorrelation_diff().

float8 Index_to_frequency	(	unsigned	NumSamples,
		unsigned	Index
	)

signed8 lower_power_of_two

(

signed8

a

)

template<class type >

type minimum	(	type	a,
		type	b
	)			[inline]

Aux

float8 norm	(	float8	r,
		float8	e
	)

template<class type >

type normalize_abs_max	(	type *	data,
		long	l
	)			[inline]

These should be removed in the future

References find_abs_max().

Referenced by RhythmAnalyzer::calculateRhythmPattern2(), histogram_type::cor_dist(), BpmCounter::measure(), and histogram_type::normalize_autocorrelation_diff().

void normalize_mean	(	float4 *	data,
		long	l
	)

References find_mean(), and i.

void normalize_mean	(	float8 *	data,
		long	l
	)

References find_mean(), and i.

void translate_mean	(	float4 *	data,
		long	l
	)

References find_mean(), and i.

Referenced by spectrum_type::set_band().

float8 unbiased_abs_distance	(	float8 *	a,
		float8 *	b,
		int	size
	)

References biased_abs_distance().

Referenced by histogram_type::cor_dist().

void unbiased_autocorrelation	(	float8 *	arr,
		int	size
	)

References biased_autocorrelation(), and i.

Referenced by RhythmAnalyzer::calculateRhythmPattern2(), histogram_type::cor_dist(), and histogram_type::normalize_autocorrelation_diff().

float8 unbiased_l2_distance	(	float8 *	a,
		float8 *	b,
		int	size
	)

References biased_l2_distance().

void vector_mul_div	(	signed4 *	data,
		long	l,
		signed4	mul,
		signed4	div
	)

References i.

Referenced by histogram_type::normalize().