A Method for the Generation of
Various Ghost Correction
Algorithms—the Example of the
Positivity Method and the Exponential
Method
Keyword(s):
A theoretical strategy is presented that can derive the algorithms of several existing ghost correction methods. The examples of the positivity method and the “GHOST” method are elaborated. A new method is derived as well: the “exponential” method. It can successfully replace the quadratic method as a method that yields an exactly non-negative complete C.O.D.F. from pole figure data. The theoretical scheme that can generate all these algorithms makes use of the fact, that several parameter sets can be defined in order to describe a C.O.D.F. The parameters of one set are then functions of those of the other. The algorithms are derived from Taylor series expansions of these functions.
2003 ◽
Vol 21
(4)
◽
pp. 865-894
◽
1999 ◽
Vol 38
(3-4)
◽
pp. 153-173
◽
Keyword(s):
1989 ◽
Vol 37
(1)
◽
pp. 95-109
◽
Keyword(s):
1987 ◽
Vol 34
(3)
◽
pp. 300-308
◽
Keyword(s):
2003 ◽
Vol 35
(04)
◽
pp. 1046-1070
◽