IEEE SIGNAL PROCESSING LETTERS, vol.22, no.6, pp.676-680, 2015 (SCI-Expanded)
Article / Article
IEEE SIGNAL PROCESSING LETTERS
Science Citation Index Expanded (SCI-EXPANDED), Scopus
Exponential family, extended target, integral square error, Kullback-Leibler divergence, mixture density, mixture reduction, target tracking, RANDOM MATRICES, TRACKING, FILTER
Middle East Technical University Affiliated:
In this letter, we propose a general framework for greedy reduction of mixture densities of exponential family. The performances of the generalized algorithms are illustrated both on an artificial example where randomly generated mixture densities are reduced and on a target tracking scenario where the reduction is carried out in the recursion of a Gaussian inverse Wishart probability hypothesis density (PHD) filter.