/*****************************************************************************
Major portions of this software are copyrighted by the Medical College
of Wisconsin, 1994-2000, and are released under the Gnu General Public
License, Version 2. See the file README.Copyright for details.
******************************************************************************/
/*
This file contains routines to initialize and implement the
null signal model.
File: model_null.c
Author: B. Douglas Ward
Date: 22 May 1997
*/
/*---------------------------------------------------------------------------*/
#include <math.h>
#include "NLfit_model.h"
void signal_model
(
float * gs, /* parameters for signal model */
int ts_length, /* length of time series data */
float ** x_array, /* independent variable matrix */
float * ts_array /* estimated signal model time series */
);
/*---------------------------------------------------------------------------*/
/*
Routine to initialize the signal model by defining the number of parameters
in the signal model, the name of the signal model, and the default values
for the minimum and maximum parameter constraints.
*/
DEFINE_MODEL_PROTOTYPE
MODEL_interface * initialize_model ()
{
MODEL_interface * mi = NULL;
/*----- allocate memory space for model interface -----*/
mi = (MODEL_interface *) XtMalloc (sizeof(MODEL_interface));
/*----- define interface for the null signal model -----*/
/*----- name of this model -----*/
strcpy (mi->label, "Null");
/*----- this is a signal model -----*/
mi->model_type = MODEL_SIGNAL_TYPE;
/*----- number of parameters in the model -----*/
mi->params = 0;
/*----- minimum and maximum parameter constraints -----*/
/*----- there are none -----*/
/*----- function which implements the model -----*/
mi->call_func = &signal_model;
/*----- return pointer to the model interface -----*/
return (mi);
}
/*---------------------------------------------------------------------------*/
/*
Routine to calculate the time series which results from using the
null signal model.
*/
void signal_model
(
float * gs, /* parameters for signal model */
int ts_length, /* length of time series data */
float ** x_array, /* independent variable matrix */
float * ts_array /* estimated signal model time series */
)
{
int it; /* time index */
for (it = 0; it < ts_length; it++)
ts_array[it] = 0.0;
}
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