Download BibTeX-Entry
@techreport\{Theussl-2000-MWI,
title = "Mastering Windows: Improving Reconstruction",
author = "Thomas Theu{\ss}l and Helwig Hauser and Meister Eduard
Gr{\"o}ller",
year = "2000",
abstract = "Ideal reconstruction filters, for function or arbitrary
derivative reconstruction, have to be bounded in order to be
practicable since they are infinite in their spatial extent.
This can be accomplished by multiplying them with windowing
functions. In this paper we discuss and assess the quality
of commonly used windows and show that most of them are
unsatisfactory in terms of numerical accuracy. The best
performing windows are Blackman, Kaiser and Gaussian
windows. The latter two are particularly useful since both
have a parameter to control their shape, which, on the other
hand, requires to find appropriate values for these
parameters. We show how to derive optimal parameter values
for Kaiser and Gaussian windows using a Taylor series
expansion of the convolution sum. Optimal values for
function and first derivative reconstruction for window
widths of two, three, four and five are
presented explicitly.",
address = "Favoritenstrasse 9-11/186, A-1040 Vienna, Austria",
institution = "Institute of Computer Graphics and Algorithms, Vienna
University of Technology",
note = "human contact: technical-report@cg.tuwien.ac.at",
month = apr,
number = "TR-186-2-00-08",
keywords = "Taylor series expansion, frequency response, windowing,
ideal reconstruction",
URL = "http://www.cg.tuwien.ac.at/research/publications/2000/Theussl-2000-MWI/",
}
|