Histogram Equalisation as a Method for Making an Objective Comparison Between Antenna Patterns Functions
Authors: S.F. Gregson, J. McCormick, C.G. Parini
Publication: EuCAP 2007
Copyright Owner: IEEE
Attempts to produce robust, objective, quantitative measures of comparison between data sets using statistical methods have been widely reported in the literature. Recently, techniques have been developed that require the antenna pattern functions to be converted into histograms before the comparison, i.e. the measure of adjacency, is made.
The success of such a tactic can be crucially dependent upon the choice of categorising “bins”. As the number, level, and size of these bins can be chosen both a priori and freely, it is possible that the resulting histograms will be sparsely populated with the majority of the samples falling within only a few of the categories. This difficulty can be avoided if the bins are defined in such a way that roughly equal numbers of samples fall within each of the categorising bin.
This paper describes an efficient method for “equalising” any histogram and illustrates the effectiveness of this strategy with example, measured data.
You have requested a Reprint of an IEEE Paper
Copyright 2007 IEEE. Reprinted from EuCAP 2007 Conference.
This material is posted here with permission of the IEEE. Such permission of the IEEE does not in any way imply IEEE endorsement of any of NSI-MI Technologies' products or services. Internal or personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution must be obtained from the IEEE by writing to firstname.lastname@example.org.
By choosing to view this document, you agree to all provisions of the copyright laws protecting it.