Convolution Class Reference

#include <Convolution.h>

Inheritance diagram for Convolution:

List of all members.

Public Member Functions
	Convolution (ApplicationWindow *parent, Table *t, const QString &signalColName, const QString &responseColName)
int	responseDataSize ()
	Returns the size of the response data set.
void	setDataFromTable (Table *t, const QString &signalColName, const QString &responseColName)
int	signalDataSize ()
	Returns the size of the signal data set.
Public Member Functions inherited from Filter
int	dataSize ()
	Returns the size of the fitted data set.
bool	error ()
	Filter (ApplicationWindow *parent, Table *t=0, const char *name=0)
	Filter (ApplicationWindow *parent, Graph *g=0, const char *name=0)
virtual QString	legendInfo ()
	Output string added to the plot as a new legend.
virtual bool	run ()
	Actually does the job. Should be reimplemented in derived classes.
void	setColor (int colorId)
	Sets the color of the output fit curve.
void	setColor (const QString &colorName)
	Sets the color of the output fit curve. Provided for convenience. To be used in scripts only!
virtual void	setDataCurve (int curve, double start, double end)
bool	setDataFromCurve (const QString &curveTitle, Graph *g=0)
bool	setDataFromCurve (const QString &curveTitle, double from, double to, Graph *g=0)
void	setInterval (double from, double to)
	Changes the data range if the source curve was already assigned. Provided for convenience.
void	setMaximumIterations (int iter)
	Sets the maximum number of iterations to be performed during an iterative session.
void	setOutputPoints (int points)
	Sets the number of points in the output curve.
void	setOutputPrecision (int digits)
	Sets the precision used for the output.
void	setTolerance (double eps)
	Sets the tolerance used by the GSL routines.
virtual void	showLegend ()
	Adds a new legend to the plot. Calls virtual legendInfo()
	~Filter ()

Protected Member Functions
void	addResultCurve ()
	Handles the graphical output.
void	convlv (double *sig, int n, double *dres, int m, int sign)
	Performes the convolution of the two data sets and stores the result in the signal data set.
Protected Member Functions inherited from Filter
QwtPlotCurve *	addResultCurve (double *x, double *y)
	Adds the result curve to the target output plot window. Creates a hidden table and frees the input data from memory.
virtual void	calculateOutputData (double *X, double *Y)
	Calculates the data for the output curve and store it in the X an Y vectors.
int	curveIndex (const QString &curveTitle, Graph *g)
	Performs checks and returns the index of the source data curve if OK, -1 otherwise.
virtual bool	isDataAcceptable ()
virtual QString	logInfo ()
	Output string added to the log pannel of the application.

Private Member Functions
virtual void	output ()
	Performs the data analysis and takes care of the output.

Private Attributes
int	d_n_response
	Size of the response data set.
int	d_n_signal
	Size of the signal data set.

Additional Inherited Members
Protected Attributes inherited from Filter
QwtPlotCurve *	d_curve
	The curve to be analysed.
int	d_curveColorIndex
	Color index of the result curve.
QString	d_explanation
	String explaining the operation in the comment of the result table and in the project explorer.
double	d_from
	Data interval.
Graph *	d_graph
	The graph where the result curve should be displayed.
bool	d_init_err
	Error flag telling if something went wrong during the initialization phase.
int	d_max_iterations
	Maximum number of iterations per fit.
int	d_min_points
	Minimum number of data points necessary to perform the operation.
int	d_n
	Size of the data arrays.
int	d_points
	Number of result points to de calculated and displayed in the output curve.
int	d_prec
	Precision (number of significant digits) used for the results output.
bool	d_sort_data
	Specifies if the filter needs sorted data as input.
Table *	d_table
	A table source of data.
double	d_to
double	d_tolerance
	GSL Tolerance, if ever needed...
double *	d_x
	x data set to be analysed
double *	d_y
	y data set to be analysed

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Constructor & Destructor Documentation

Convolution::Convolution	(	ApplicationWindow *	parent,
		Table *	t,
		const QString &	signalColName,
		const QString &	responseColName
	)

References setDataFromTable().

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Member Function Documentation

void Convolution::addResultCurve ( )

protected

Handles the graphical output.

References MultiLayer::activeGraph(), Table::addCol(), Table::colName(), Table::colNames(), ColorBox::color(), Table::column(), Filter::d_curveColorIndex, Filter::d_n, Filter::d_table, Filter::d_x, Graph::insertPlotItem(), Graph::Line, ApplicationWindow::newGraph(), Table::numCols(), Table::setColName(), Table::setColPlotDesignation(), Column::setValueAt(), Graph::updatePlot(), and SciDAVis::X.

Referenced by output(), and Deconvolution::output().

void Convolution::convlv ( double *  sig, int  n, double *  dres, int  m, int  sign  )

protected

Performes the convolution of the two data sets and stores the result in the signal data set.

Referenced by output(), and Deconvolution::output().

void Convolution::output ( )

privatevirtual

Performs the data analysis and takes care of the output.

Reimplemented from Filter.

Reimplemented in Deconvolution.

References addResultCurve(), convlv(), d_n_response, d_n_signal, Filter::d_x, and Filter::d_y.

int Convolution::responseDataSize ( )

inline

Returns the size of the response data set.

References d_n_response.

Referenced by Deconvolution::output().

void Convolution::setDataFromTable	(	Table *	t,
		const QString &	signalColName,
		const QString &	responseColName
	)

References Table::cell(), Table::colIndex(), Filter::d_init_err, Filter::d_n, d_n_response, d_n_signal, Filter::d_table, Filter::d_x, Filter::d_y, Table::numRows(), and Table::text().

Referenced by Convolution(), and Deconvolution::Deconvolution().

int Convolution::signalDataSize ( )

inline

Returns the size of the signal data set.

References d_n_signal.

Referenced by Deconvolution::output().

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Member Data Documentation

int Convolution::d_n_response

private

Size of the response data set.

Referenced by output(), responseDataSize(), and setDataFromTable().

int Convolution::d_n_signal

private

Size of the signal data set.

Referenced by output(), setDataFromTable(), and signalDataSize().

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The documentation for this class was generated from the following files:

• scidavis/src/Convolution.h
• scidavis/src/Convolution.cpp