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Description:
This routine accepts
an array consisting of a series of (vectorised) lines of data. The data values in the lines are
then combined to form an unweighted mean. The output means are returned in the array
RESULT. The output variances are estimated from the VARS values and are returned in
RESVAR.
Invocation
CALL CCG_UM1x( NPIX, NLINES, STACK, VARS, MINPIX, RESULT,
RESVAR, NCON, NBAD, STATUS )
Arguments
NPIX = INTEGER (Given)
The number of
pixels in a line of data.
NLINES = INTEGER (Given)
The number of lines of data in the
stack.
STACK( NPIX, NLINES ) = ? (Given)
The array of lines which are to be combined
into a single line.
VARS( NPIX, NLINES ) = ? (Given)
The data variances.
MINPIX =
INTEGER (Given)
The minimum number of pixels required to contribute to an output pixel or
variance.
RESULT( NPIX ) = ? (Returned)
The output line of data.
RESVAR( NPIX ) = ?
(Returned)
The output variances.
NCON( NLINES ) = DOUBLE PRECISION (Returned)
The
actual number of contributing pixels from each input line to the output line.
NBAD =
INTEGER (Returned)
The number of bad values in the output array created while forming the
statistics. It excludes those bad values whose corresponding values along the collapse axis
are all bad.
STATUS = INTEGER (Given and Returned)
The global status.
Notes:
-
There is a routine for real and double-precision: replace "
x"
in the routine name by D or R as
appropriate. The STACK, VARS, RESULT, and RESVAR arguments supplied to the routine must have
the data type specified.
-
This routine performs its work in double precision.
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