Share Email Print
cover

Proceedings Paper

A baker’s dozen of new particle flows for nonlinear filters, Bayesian decisions and transport
Author(s): Fred Daum; Jim Huang
Format Member Price Non-Member Price
PDF $14.40 $18.00
cover GOOD NEWS! Your organization subscribes to the SPIE Digital Library. You may be able to download this paper for free. Check Access

Paper Abstract

We describe a baker’s dozen of new particle flows to compute Bayes’ rule for nonlinear filters, Bayesian decisions and learning as well as transport. Several of these new flows were inspired by transport theory, but others were inspired by physics or statistics or Markov chain Monte Carlo methods.

Paper Details

Date Published: 21 May 2015
PDF: 13 pages
Proc. SPIE 9474, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV, 94740J (21 May 2015); doi: 10.1117/12.2076201
Show Author Affiliations
Fred Daum, Raytheon Co. (United States)
Jim Huang, Raytheon Co. (United States)


Published in SPIE Proceedings Vol. 9474:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXIV
Ivan Kadar, Editor(s)

© SPIE. Terms of Use
Back to Top