at.tuwien.ifs.feature.extraction.audio.data
Class RealMatrixExt

java.lang.Object
  org.apache.commons.math.linear.RealMatrixImpl
      at.tuwien.ifs.feature.extraction.audio.data.RealMatrixExt

All Implemented Interfaces:

java.io.Serializable, org.apache.commons.math.linear.RealMatrix

public class RealMatrixExt
extends org.apache.commons.math.linear.RealMatrixImpl

Copyright Vienna University of Technology

Version:

$Id: RealMatrixExt.java 173 2010-06-17 16:28:05Z mayer $

Author:

Thomas Lidy

See Also:

Serialized Form

Field Summary

private static long	serialVersionUID
private int	type
static int	TYPE_RH
static int	TYPE_RP
static int	TYPE_SSD
static int	TYPE_UNKNOWN

Fields inherited from class org.apache.commons.math.linear.RealMatrixImpl

TOO_SMALL

Constructor Summary

RealMatrixExt(double[] vector)
Create a new (column) RealMatrix using vector as the data for the unique column of the vector.length x 1 matrix created.

RealMatrixExt(double[][] matrix)
Create a new RealMatrix using the input 2D double array as matrix.

RealMatrixExt(int rowDimension, int columnDimension)
Create a new RealMatrix with the supplied row and column dimensions.

Method Summary

int	getType() returns type (ID) of matrix
double[]	meanColumns()
double[]	meanRows()
static RealMatrixExt	median(RealMatrixExt[] matrices) Computes a median matrix from an array of matrices (taking the median of every single element)
void	setType(int type) sets type (ID) of matrix
double[]	sumColumns()
double[]	sumRows()
double[]	vectorize() vectorize the matrix (i.e.

Methods inherited from class org.apache.commons.math.linear.RealMatrixImpl

add, copy, equals, getColumn, getColumnDimension, getColumnMatrix, getData, getDataRef, getDeterminant, getEntry, getIdentity, getLUMatrix, getNorm, getPermutation, getRow, getRowDimension, getRowMatrix, getSubMatrix, getSubMatrix, getTrace, hashCode, inverse, isSingular, isSquare, luDecompose, multiply, operate, preMultiply, preMultiply, scalarAdd, scalarMultiply, setSubMatrix, solve, solve, subtract, toString, transpose

Methods inherited from class java.lang.Object

clone, finalize, getClass, notify, notifyAll, wait, wait, wait

Field Detail

serialVersionUID

private static final long serialVersionUID

See Also:

Constant Field Values

TYPE_UNKNOWN

public static final int TYPE_UNKNOWN

See Also:

Constant Field Values

TYPE_RP

public static final int TYPE_RP

See Also:

Constant Field Values

TYPE_SSD

public static final int TYPE_SSD

See Also:

Constant Field Values

TYPE_RH

public static final int TYPE_RH

See Also:

Constant Field Values

type

private int type

Constructor Detail

RealMatrixExt

public RealMatrixExt(double[] vector)

Create a new (column) RealMatrix using vector as the data for the unique column of the vector.length x 1 matrix created.

RealMatrixExt

public RealMatrixExt(double[][] matrix)

Create a new RealMatrix using the input 2D double array as matrix.

Parameters:

matrix -

RealMatrixExt

public RealMatrixExt(int rowDimension,
                     int columnDimension)

Create a new RealMatrix with the supplied row and column dimensions.

Parameters:

rowDimension -

columnDimension -

Method Detail

setType

public void setType(int type)

sets type (ID) of matrix

Parameters:

type - integer type ID (may be one of the static type IDs of this class)

getType

public int getType()

returns type (ID) of matrix

Returns:

integer type ID (probably one of the static type IDs of this class)

vectorize

public double[] vectorize()

vectorize the matrix (i.e. concatenate column for column to a vector )

sumRows

public double[] sumRows()

Returns:

the sum of all rows per row (i.e. the length of the resulting double array will equal the number of rows)

meanRows

public double[] meanRows()

Returns:

the mean per row (i.e. the length of the resulting double array will equal the number of rows)

sumColumns

public double[] sumColumns()

Returns:

the sum of all columns (i.e. the length of the resulting double array will equal the number of columns)

meanColumns

public double[] meanColumns()

Returns:

the mean per column (i.e. the length of the resulting double array will equal the number of columns)

median

public static RealMatrixExt median(RealMatrixExt[] matrices)

Computes a median matrix from an array of matrices (taking the median of every single element)

Parameters:

matrices - an array of matrices

Returns:

a matrix which contains the median of every element of the given matrices