com.tagtraum.jipes.audio

Interface AudioMatrix

All Superinterfaces:

AudioBuffer

All Known Implementing Classes:

RealAudioMatrix

public interface AudioMatrix
extends AudioBuffer

Read-only matrix that holds (audio) data and some meta information in the form of an AudioFormat instance.

Author:

Hendrik Schreiber

Method Summary

Modifier and Type	Method and Description
AudioMatrix	derive(Matrix real, Matrix imaginary) Derives a new matrix from this matrix using the same audio format etc, but different data.
float[]	getData() Access to the first row.
float	getData(int row, int column) Access to a value given its row and column.
int	getNumberOfColumns() Number of columns.
int	getNumberOfRows() Number of rows.
float[]	getRealData() Access to the first row.
float	getRealData(int row, int column) Access to a value given its row and column.

Methods inherited from interface com.tagtraum.jipes.audio.AudioBuffer

clone, derive, getAudioFormat, getFrameNumber, getImaginaryData, getMagnitudes, getNumberOfSamples, getPowers, getTimestamp, getTimestamp

Method Detail

getData

float getData(int row,
              int column)

Access to a value given its row and column.

Parameters:

row - row

column - column

Returns:

value

getRealData

float getRealData(int row,
                  int column)

Access to a value given its row and column.

Parameters:

row - row

column - column

Returns:

value

getData

float[] getData()

Access to the first row.

Specified by:

getData in interface AudioBuffer

Returns:

columns of first row

See Also:

AbstractAudioSpectrum.getData()

getRealData

float[] getRealData()

Access to the first row.

Specified by:

getRealData in interface AudioBuffer

Returns:

columns of first row

getNumberOfRows

int getNumberOfRows()

Number of rows.

Returns:

rows

getNumberOfColumns

int getNumberOfColumns()

Number of columns.

Returns:

columns

derive

AudioMatrix derive(Matrix real,
                   Matrix imaginary)

Derives a new matrix from this matrix using the same audio format etc, but different data.

Parameters:

real - real data

imaginary - imaginary data

Returns:

derived matrix