CCG_MM1x - Combines data lines using a min-max exclusion trimmed mean

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 trimmed mean in which the minimum and maximum values are excluded. The output means are returned in the array RESULT. The output variances are propagated from the inverse weights given in array VARS and are returned in the array RESVAR.

Invocation:

CALL CCG_MM1x( NPIX, NLINES, STACK, VARS, MINPIX, NMAT, COVEC, RESULT, RESVAR, WRK1, POINT, USED, 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.

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 CCD1_ORVAR.

RESULT( NPIX ) = ? (Returned)

The output line of data.

RESVAR( NPIX ) = ? (Returned)

The output variances.

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.

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, and WRK1 arguments supplied to the routine must have the data type specified.