Levine, Z.
and Pintar, A.
(2015),
A Fixed-Memory Moving, Expanding Window for Obtaining Scatter Corrections in X-Ray CT and Other Stochastic Averages, Computer Physics Communications, [online], https://doi.org/10.1016/j.cpc.2015.05.019
(Accessed October 20, 2025)
Official websites use .gov
A .gov website belongs to an official government organization in the United States.
Secure .gov websites use HTTPS
A lock (
) or https:// means you’ve safely connected to the .gov website. Share sensitive information only on official, secure websites.
A Fixed-Memory Moving, Expanding Window for Obtaining Scatter Corrections in X-Ray CT and Other Stochastic Averages
Published
Author(s)
,
Abstract
A simple algorithm for averaging a stochastic sequence of 1D arrays in a moving, expanding window is provided. The samples are grouped in bins which increase exponentially in size so that a constant fraction of the samples is retained at any point in the sequence. The algorithm is shown to have particular relevance for a class of Monte Carlo sampling problems which includes one characteristic of iterative reconstruction in computed tomography. The code is available in the CPC program library (at www.cpc.qpub.ac.uk, Catalog ID: aexaZ) in both Fortran 95 and C and is also available in R through CRAN.Citation
Computer Physics Communications
Volume
196C
Pub Type
Journals
Download Paper
Keywords
Monte Carlo, moving expanding window , stochastic average
Citation
Issues
If you have any questions about this publication or are having problems accessing it, please contact [email protected].
Created May 29, 2015, Updated October 12, 2021