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Proceedings Paper

Renormalization group flow and other ideas inspired by physics for nonlinear filters, Bayesian decisions, and transport
Author(s): Fred Daum; Jim Huang
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Paper Abstract

We describe many new ideas for research in particle flow corresponding to Bayes’ rule. Some of these ideas were inspired by quantum field theory and classical electromagnetism whereas others were taken from mathematics or signal processing. For example, we discuss renormalization group flow, Ricci flow, Yang-Mills equations, the Dirac approximation, Kronecker product expansions to estimate the covariance matrix, charge quantization, etc. Three new algorithms for particle flow inspired by renormalization group flow are derived in detail.

Paper Details

Date Published: 20 June 2014
PDF: 14 pages
Proc. SPIE 9091, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII, 90910I (20 June 2014); doi: 10.1117/12.2044123
Show Author Affiliations
Fred Daum, Raytheon Co. (United States)
Jim Huang, Raytheon Co. (United States)

Published in SPIE Proceedings Vol. 9091:
Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII
Ivan Kadar, Editor(s)

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