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Description:
This routine accepts an
array consisting a series of (vectorised) lines of data. The data values in the lines are then combined to
form an alpha trimmed mean line. The output means are returned in the array RESULT. The variances
are propagated through the combination process and returned in the RESVAR array.
Invocation
CALL CCG_TM1x( ALPHA, NPIX, NLINES, STACK, VARS, MINPIX, NMAT, COVEC, RESULT,
RESVAR, WRK1, POINT, USED, NCON, NBAD, STATUS )
Arguments
ALPHA = REAL
(Given)
The fraction of data to trim from upper and lower orders. It must be greater than 0.0
and less than 0.5.
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.
NMAT =
INTEGER (Given)
Size of the first dimension of COVEC.
COVEC( NMAT, NLINES ) =
DOUBLE PRECISION (Given)
The packed variance-covariance matrix of the order statistics
from a normal distribution of sizes up to NLINES, produced by CCG_ORVAR.
RESULT(
NPIX ) = ? (Returned)
The output line of data.
RESVAR( NPIX ) = ? (Returned)
The
output variance.
WRK1( NLINES ) = ? (Returned)
Workspace for calculations.
POINT(
NLINES ) = INTEGER (Returned)
Workspace to hold pointers to the original positions
of the data before extraction and conversion in to the WRK1 array.
USED( NLINES )
= LOGICAL (Returned)
Workspace used to indicate which values have been used in
estimating a resultant value.
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, RESVAR, WRK1, and WRK2 arguments supplied to the
routine must have the data type specified.
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