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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.
Invocation
CALL CCG_RMS3x( 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.
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 and RESULT arguments supplied to the routine must have the data
type specified.
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