org.gcube.dataanalysis.ecoengine.signals.ssa

Class SingularSpectrumAnalysis

java.lang.Object

org.gcube.dataanalysis.ecoengine.signals.ssa.SingularSpectrumAnalysis

public class SingularSpectrumAnalysis
extends Object

Constructor Summary

Constructors

Constructor and Description
SingularSpectrumAnalysis()

Method Summary

Modifier and Type	Method and Description
static void	averagedCovariance(SSADataset data) the diagonal of the covariance matrix averaging * (on the side diagonal)
static void	diagonalAveraging(SSADataset data) restoration of the time series (the stage diagonal averaging)
static void	forecast(SSADataset data, int nPointsToForecast, boolean reconstructedSignal) author Gianpaolo Coro
static void	functionEigenValue(SSADataset data) formation of the functions eigenvalues
static void	grouping(List<SSAGroupList> model, SSADataset data) restoration of the time series (group stage) a JList model @param (group list)
static void	inclosure(SSADataset data) translation of the original time series into a sequence of multidimensional vectors
static void	setMovingAverage(SSADataset data) formation of moving averages
static void	singularDecomposition(SSADataset data) singular value decomposition

Methods inherited from class java.lang.Object

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

Constructor Detail

SingularSpectrumAnalysis

public SingularSpectrumAnalysis()

Method Detail

inclosure

public static void inclosure(SSADataset data)

translation of the original time series into a sequence of multidimensional vectors

Parameters:

data - data for analysis

singularDecomposition

public static void singularDecomposition(SSADataset data)

singular value decomposition

Parameters:

data - data for analysis

grouping

public static void grouping(List<SSAGroupList> model,
                            SSADataset data)

restoration of the time series (group stage) a JList model @param (group list)

Parameters:

data - data for analysis

diagonalAveraging

public static void diagonalAveraging(SSADataset data)

restoration of the time series (the stage diagonal averaging)

Parameters:

data - for analysis

setMovingAverage

public static void setMovingAverage(SSADataset data)

formation of moving averages

Parameters:

data - data for analysis

averagedCovariance

public static void averagedCovariance(SSADataset data)

the diagonal of the covariance matrix averaging * (on the side diagonal)

Parameters:

data - data for analysis

functionEigenValue

public static void functionEigenValue(SSADataset data)

formation of the functions eigenvalues

Parameters:

data - data for analysis

forecast

public static void forecast(SSADataset data,
                            int nPointsToForecast,
                            boolean reconstructedSignal)

author Gianpaolo Coro

Parameters:

data -