Possibilistic Testing of Distribution Functions for Change Detection

Abstract

Change detection algorithms are proposed that are based on the comparison of distribution functions. Estimated values of distributions are associated with a binomial distribution that is used to define fuzzy similarity classes. Fuzzy concepts are used to combine partial evaluations to a measure that indicates the departure of a signal from its reference.

Keywords

Change detection Density estimation Binomial distribution Possibility theory

Get full access to this article

View all access options for this article.