be.tarsos.dsp.beatroot

Class Peaks

java.lang.Object

be.tarsos.dsp.beatroot.Peaks

public class Peaks
extends java.lang.Object

Field Summary

Fields

Modifier and Type	Field and Description
static boolean	debug
static int	post
static int	pre

Constructor Summary

Constructors

Constructor and Description
Peaks()

Method Summary

Modifier and Type	Method and Description
static double	expDecayWithHold(double av, double decayRate, double[] data, int start, int stop)
static int	findPeaks(double[] data, int[] peaks, int width) General peak picking method for finding n local maxima in an array
static java.util.LinkedList<java.lang.Integer>	findPeaks(double[] data, int width, double threshold) General peak picking method for finding local maxima in an array
static java.util.LinkedList<java.lang.Integer>	findPeaks(double[] data, int width, double threshold, double decayRate, boolean isRelative) General peak picking method for finding local maxima in an array
static void	getSlope(double[] data, double hop, int n, double[] slope) Uses an n-point linear regression to estimate the slope of data.
static int	imax(double[] arr)
static int	imin(double[] arr)
static double	max(double[] arr)
static double	min(double[] arr)
static void	normalise(double[] data)
static boolean	overThreshold(double[] data, int index, int width, double threshold, boolean isRelative, double av)

Methods inherited from class java.lang.Object

equals, getClass, hashCode, notify, notifyAll, toString, wait, wait, wait

Field Detail

debug

public static boolean debug

pre

public static int pre

post

public static int post

Constructor Detail

Peaks

public Peaks()

Method Detail

findPeaks

public static int findPeaks(double[] data,
                            int[] peaks,
                            int width)

General peak picking method for finding n local maxima in an array

Parameters:

data - input data

peaks - list of peak indexes

width - minimum distance between peaks

Returns:

The number of peaks found

findPeaks

public static java.util.LinkedList<java.lang.Integer> findPeaks(double[] data,
                                                                int width,
                                                                double threshold)

General peak picking method for finding local maxima in an array

Parameters:

data - input data

width - minimum distance between peaks

threshold - minimum value of peaks

Returns:

list of peak indexes

findPeaks

public static java.util.LinkedList<java.lang.Integer> findPeaks(double[] data,
                                                                int width,
                                                                double threshold,
                                                                double decayRate,
                                                                boolean isRelative)

General peak picking method for finding local maxima in an array

Parameters:

data - input data

width - minimum distance between peaks

threshold - minimum value of peaks

decayRate - how quickly previous peaks are forgotten

isRelative - minimum value of peaks is relative to local average

Returns:

list of peak indexes

expDecayWithHold

public static double expDecayWithHold(double av,
                                      double decayRate,
                                      double[] data,
                                      int start,
                                      int stop)

overThreshold

public static boolean overThreshold(double[] data,
                                    int index,
                                    int width,
                                    double threshold,
                                    boolean isRelative,
                                    double av)

normalise

public static void normalise(double[] data)

getSlope

public static void getSlope(double[] data,
                            double hop,
                            int n,
                            double[] slope)

Uses an n-point linear regression to estimate the slope of data.

Parameters:

data - input data

hop - spacing of data points

n - length of linear regression

slope - output data

min

public static double min(double[] arr)

max

public static double max(double[] arr)

imin

public static int imin(double[] arr)

imax

public static int imax(double[] arr)