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Description:
This routine accepts
an array consisting a series of (vectorised) lines of data. The data values in each lines are then
combined to form the roor mean square of the values. The output rot mean squares are returned in the
array RESULT. The squared standard error of the variance is returned in RESVAR.
Invocation
CALL
CCG_RMS1x( NPIX, NLINES, STACK, 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.
MINPIX =
INTEGER (Given)
The minimum number of pixels required to contribute to an output
pixel.
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:
-
This routine performs its work in double precision.
-
There is a routine for each numeric data type: replace "
x"
in the routine name by D, R, I, W, UW, B or
UB as appropriate. The STACK, RESULT, and RESVAR arguments supplied to the routine must have
the data type specified.
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