Renormalization group flow and other ideas inspired by physics for nonlinear filters, Bayesian decisions, and transport

Fred Daum; Jim Huang

doi:10.1117/12.2044123

20 June 2014 Renormalization group flow and other ideas inspired by physics for nonlinear filters, Bayesian decisions, and transport

Fred Daum, Jim Huang

Author Affiliations +

Proceedings Volume 9091, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII; 90910I (2014) https://doi.org/10.1117/12.2044123
Event: SPIE Defense + Security, 2014, Baltimore, MD, United States

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.

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Fred Daum and Jim Huang "Renormalization group flow and other ideas inspired by physics for nonlinear filters, Bayesian decisions, and transport", Proc. SPIE 9091, Signal Processing, Sensor/Information Fusion, and Target Recognition XXIII, 90910I (20 June 2014); https://doi.org/10.1117/12.2044123

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