swiener - perform Wiener deconvolution of two signals
SUBROUTINE SWIENER(N_POINTS, ACOR, XCOR, FLTR, EROP, ISW, IERR) INTEGER N_POINTS, ISW, IERR REAL ACOR(*), XCOR(*), FLTR(*), EROP(*) SUBROUTINE SWIENER_64(N_POINTS, ACOR, XCOR, FLTR, EROP, ISW, IERR) INTEGER*8 N_POINTS, ISW, IERR REAL ACOR(*), XCOR(*), FLTR(*), EROP(*) F95 INTERFACE SUBROUTINE WIENER(N_POINTS, ACOR, XCOR, FLTR, EROP, ISW, IERR) INTEGER :: N_POINTS, ISW, IERR REAL, DIMENSION(:) :: ACOR, XCOR, FLTR, EROP SUBROUTINE WIENER_64(N_POINTS, ACOR, XCOR, FLTR, EROP, ISW, IERR) INTEGER(8) :: N_POINTS, ISW, IERR REAL, DIMENSION(:) :: ACOR, XCOR, FLTR, EROP C INTERFACE #include <sunperf.h> void swiener(int n_points, float *acor, float *xcor, float *fltr, float *erop, int *isw, int *ierr); void swiener_64(long n_points, float *acor, float *xcor, float *fltr, float *erop, long *isw, long *ierr);
Oracle Solaris Studio Performance Library swiener(3P)
NAME
swiener - perform Wiener deconvolution of two signals
SYNOPSIS
SUBROUTINE SWIENER(N_POINTS, ACOR, XCOR, FLTR, EROP, ISW, IERR)
INTEGER N_POINTS, ISW, IERR
REAL ACOR(*), XCOR(*), FLTR(*), EROP(*)
SUBROUTINE SWIENER_64(N_POINTS, ACOR, XCOR, FLTR, EROP, ISW, IERR)
INTEGER*8 N_POINTS, ISW, IERR
REAL ACOR(*), XCOR(*), FLTR(*), EROP(*)
F95 INTERFACE
SUBROUTINE WIENER(N_POINTS, ACOR, XCOR, FLTR, EROP, ISW, IERR)
INTEGER :: N_POINTS, ISW, IERR
REAL, DIMENSION(:) :: ACOR, XCOR, FLTR, EROP
SUBROUTINE WIENER_64(N_POINTS, ACOR, XCOR, FLTR, EROP, ISW, IERR)
INTEGER(8) :: N_POINTS, ISW, IERR
REAL, DIMENSION(:) :: ACOR, XCOR, FLTR, EROP
C INTERFACE
#include <sunperf.h>
void swiener(int n_points, float *acor, float *xcor, float *fltr, float
*erop, int *isw, int *ierr);
void swiener_64(long n_points, float *acor, float *xcor, float *fltr,
float *erop, long *isw, long *ierr);
PURPOSE
swiener 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 swiener(3P)