Greedy Reduction Algorithms for Mixtures of Exponential Family


Ardeshiri T., Granstrom K., Ozkan E. , ORGUNER U.

IEEE SIGNAL PROCESSING LETTERS, cilt.22, ss.676-680, 2015 (SCI İndekslerine Giren Dergi) identifier identifier

  • Cilt numarası: 22 Konu: 6
  • Basım Tarihi: 2015
  • Doi Numarası: 10.1109/lsp.2014.2367154
  • Dergi Adı: IEEE SIGNAL PROCESSING LETTERS
  • Sayfa Sayıları: ss.676-680

Özet

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.