Histogram Equalisation as a Method for Making an Objective Comparison Between Antenna Patterns Functions

Authors: S.F. Gregson, J. McCormick, C.G. Parini

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 IET Paper

Copyright 2007 IET. Reprinted from the second European Conference on Antenna and Propagation (EuCAP) 11-16 November 2007.

This material is posted here with permission of The Institution of Engineering and Technology (IET). Such permission of the IET does not in any way imply IET 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 IET.

By choosing to view this document, you agree to all provisions of the copyright laws protecting it


1125 Satellite Blvd., Suite 100
Suwanee, GA 30024-4629 USA

+1 678 475 8300
+1 678 542 2601

Los Angeles

19730 Magellan Drive
Torrance, CA 90502-1104 USA

+1 310 525 7000
+1 310 525 7100

Fall Short Course

Suwanee, GA   4 Days

Latest Tweets

This site is using cookies for analytical purposes and to provide a better user experience. Read our Privacy Policy for more information.