strategy_gaussian_conv.c File Reference

Suite of different 1D Gaussian convolution methods. More...

Detailed Description

Suite of different 1D Gaussian convolution methods.

Author

Pascal Getreuer getre.nosp@m.uer@.nosp@m.cmla..nosp@m.ens-.nosp@m.cacha.nosp@m.n.fr

Copyright (c) 2013, Pascal Getreuer All rights reserved.

This program is free software: you can redistribute it and/or modify it under, at your option, the terms of the GNU General Public License as published by the Free Software Foundation, either version 3 of the License, or (at your option) any later version, or the terms of the simplified BSD license.

You should have received a copy of these licenses along with this program. If not, see http://www.gnu.org/licenses/ and http://www.opensource.org/licenses/bsd-license.html.

Definition in file strategy_gaussian_conv.c.

#include "strategy_gaussian_conv.h"
#include <stdlib.h>
#include <string.h>
#include "gaussian_conv_fir.h"
#include "gaussian_conv_dct.h"
#include "gaussian_conv_box.h"
#include "gaussian_conv_ebox.h"
#include "gaussian_conv_sii.h"
#include "gaussian_conv_am.h"
#include "gaussian_conv_deriche.h"
#include "gaussian_conv_vyv.h"

Go to the source code of this file.

Data Structures
struct	gconv_

Functions
gconv *	gconv_plan (num *dest, const num *src, long N, long stride, const char *algo, double sigma, int K, num tol)
	Plan a 1D Gaussian convolution. More...
void	gconv_execute (gconv *g)
	Execute a 1D Gaussian convolution. More...
void	gconv_free (gconv *g)
	Free memory associated with a gconv. More...

Function Documentation

void gconv_execute

(

gconv *

g

)

Execute a 1D Gaussian convolution.

Parameters

g	gconv* created by gconv_plan()

Definition at line 125 of file strategy_gaussian_conv.c.

void gconv_free

(

gconv *

g

)

Free memory associated with a gconv.

Parameters

g	gconv* created by gconv_plan()

Definition at line 134 of file strategy_gaussian_conv.c.

gconv* gconv_plan	(	num *	dest,
		const num *	src,
		long	N,
		long	stride,
		const char *	algo,
		double	sigma,
		int	K,
		num	tol
	)

Plan a 1D Gaussian convolution.

Parameters

dest	destination array
src	source array
N	number of samples
stride	stride between successive samples
algo	Gaussian convolution algorithm
sigma	Gaussian standard deviation
K	algorithm steps or filter order parameter
tol	algorithm accuracy parameter

Returns

gconv pointer or NULL on failure

Definition at line 72 of file strategy_gaussian_conv.c.