dwiener - perform Wiener deconvolution of two signals
SUBROUTINE DWIENER(N_POINTS, ACOR, XCOR, FLTR, EROP, ISW, IERR) INTEGER N_POINTS, ISW, IERR DOUBLE PRECISION ACOR(*), XCOR(*), FLTR(*), EROP(*) SUBROUTINE DWIENER_64(N_POINTS, ACOR, XCOR, FLTR, EROP, ISW, IERR) INTEGER*8 N_POINTS, ISW, IERR DOUBLE PRECISION ACOR(*), XCOR(*), FLTR(*), EROP(*) F95 INTERFACE SUBROUTINE WIENER(N_POINTS, ACOR, XCOR, FLTR, EROP, ISW, IERR) INTEGER :: N_POINTS, ISW, IERR REAL(8), DIMENSION(:) :: ACOR, XCOR, FLTR, EROP SUBROUTINE WIENER_64(N_POINTS, ACOR, XCOR, FLTR, EROP, ISW, IERR) INTEGER(8) :: N_POINTS, ISW, IERR REAL(8), DIMENSION(:) :: ACOR, XCOR, FLTR, EROP C INTERFACE #include <sunperf.h> void dwiener(int n_points, double *acor, double *xcor, double *fltr, double *erop, int *isw, int *ierr); void dwiener_64(long n_points, double *acor, double *xcor, double *fltr, double *erop, long *isw, long *ierr);
Oracle Solaris Studio Performance Library dwiener(3P)
NAME
dwiener - perform Wiener deconvolution of two signals
SYNOPSIS
SUBROUTINE DWIENER(N_POINTS, ACOR, XCOR, FLTR, EROP, ISW, IERR)
INTEGER N_POINTS, ISW, IERR
DOUBLE PRECISION ACOR(*), XCOR(*), FLTR(*), EROP(*)
SUBROUTINE DWIENER_64(N_POINTS, ACOR, XCOR, FLTR, EROP, ISW, IERR)
INTEGER*8 N_POINTS, ISW, IERR
DOUBLE PRECISION ACOR(*), XCOR(*), FLTR(*), EROP(*)
F95 INTERFACE
SUBROUTINE WIENER(N_POINTS, ACOR, XCOR, FLTR, EROP, ISW, IERR)
INTEGER :: N_POINTS, ISW, IERR
REAL(8), DIMENSION(:) :: ACOR, XCOR, FLTR, EROP
SUBROUTINE WIENER_64(N_POINTS, ACOR, XCOR, FLTR, EROP, ISW, IERR)
INTEGER(8) :: N_POINTS, ISW, IERR
REAL(8), DIMENSION(:) :: ACOR, XCOR, FLTR, EROP
C INTERFACE
#include <sunperf.h>
void dwiener(int n_points, double *acor, double *xcor, double *fltr,
double *erop, int *isw, int *ierr);
void dwiener_64(long n_points, double *acor, double *xcor, double
*fltr, double *erop, long *isw, long *ierr);
PURPOSE
dwiener performs Wiener deconvolution of two signals.
ARGUMENTS
N_POINTS (input)
On entry, the number of points in the input correlations.
Unchanged on exit.
ACOR (input)
On entry, autocorrelation coefficients. Unchanged on exit.
XCOR (input)
On entry, cross-correlation coefficients. Unchanged on exit.
FLTR (output)
On exit, filter coefficients.
EROP (output)
On exit, the prediction error.
ISW (input)
On entry, if ISW .EQ. 0 then perform spiking deconvolution,
otherwise perform general deconvolution. Unchanged on exit.
IERR (output)
On exit, the deconvolution was successful iff IERR .EQ. 0,
otherwise there was an error.
7 Nov 2015 dwiener(3P)