Package com.tagtraum.audiokern.math

Class Doubles

java.lang.Object

com.tagtraum.audiokern.math.Doubles

public final class Doubles
extends Object

Doubles.

Author:

Hendrik Schreiber

Method Summary

Modifier and Type	Method	Description
static void	abs(double[] array)	Changes all values to their absolute values.
static double	arithmeticMean(double[] array)	Computes the arithmetic mean of the array.
static double	arithmeticMean(double[] array, int start, int end)	Computes the arithmetic mean of a portion of an array.
static float[]	castToFloats(double[] doubles)
static double	cubicInterpolate(double y0, double y1, double y2, double y3, double x)	If f(0)=y0, f(1)=y1, f(2)=y2, and f(3)=y3, this function finds the degree-three polynomial which best fits these points and returns the value of this polynomial at a value x.
static double	cubicMaximize(double y0, double y1, double y2, double y3)
static double	max(double[] array)	Calculates the min value of a given array.
static double	mean(double[] array)	Computes mean.
static double	min(double[] array)	Calculates the min value of a given array.
static void	normalize(double[][] arrayOfArrays, double scale)	Normalizes the values in the given arrays to values 0..scale.
static void	normalize(double[] array, double scale)	Normalizes the values in the given array to values 0..scale.
static void	scale(double[] array, double scale)	Scale the values in the given array so that the maximum is scale Note: This method manipulates the provided array.
static double	standardDeviation(double[] data)
static double	sum(double[] array)
static double	variance(double[] array)

Methods inherited from class java.lang.Object

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

Method Detail

arithmeticMean

public static double arithmeticMean(double[] array,
                                    int start,
                                    int end)

Computes the arithmetic mean of a portion of an array.

Parameters:

array - array

start - first index (incl)

end - last index (excl)

Returns:

mean

arithmeticMean

public static double arithmeticMean(double[] array)

Computes the arithmetic mean of the array.

Parameters:

array - array

Returns:

mean

mean

public static double mean(double[] array)

Computes mean.

Parameters:

array - array of doubles

Returns:

mean

sum

public static double sum(double[] array)

abs

public static void abs(double[] array)

Changes all values to their absolute values.

Parameters:

array - array of doubles

min

public static double min(double[] array)

Calculates the min value of a given array.

Parameters:

array - array of doubles

Returns:

minimum

max

public static double max(double[] array)

Calculates the min value of a given array.

Parameters:

array - array of doubles

Returns:

max

scale

public static void scale(double[] array,
                         double scale)

Scale the values in the given array so that the maximum is scale Note: This method manipulates the provided array.

Parameters:

array - array of doubles

scale - scale

variance

public static double variance(double[] array)

standardDeviation

public static double standardDeviation(double[] data)

normalize

public static void normalize(double[] array,
                             double scale)

Normalizes the values in the given array to values 0..scale. Note: This method manipulates the provided array.

Parameters:

array - array of doubles

scale - scale

normalize

public static void normalize(double[][] arrayOfArrays,
                             double scale)

Normalizes the values in the given arrays to values 0..scale. Note: This method manipulates the provided array.

Parameters:

arrayOfArrays - array of double arrays

scale - scale

cubicInterpolate

public static double cubicInterpolate(double y0,
                                      double y1,
                                      double y2,
                                      double y3,
                                      double x)

If f(0)=y0, f(1)=y1, f(2)=y2, and f(3)=y3, this function finds the degree-three polynomial which best fits these points and returns the value of this polynomial at a value x. Usually 0 < x < 3

Parameters:

y0 - y0

y1 - y1

y2 - y2

y3 - y3

x - x

Returns:

cubic interpolation

cubicMaximize

public static double cubicMaximize(double y0,
                                   double y1,
                                   double y2,
                                   double y3)

Parameters:

y0 - y0

y1 - y1

y2 - y2

y3 - y3

Returns:

cubic maximum

castToFloats

public static float[] castToFloats(double[] doubles)