Frederick E. Daum

According to our database, Frederick E. Daum authored at least 21 papers between 2008 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

On the Design of Stochastic Particle Flow Filters.

Liyi Dai, Fred Daum

IEEE Trans. Aerosp. Electron. Syst., June, 2023

2022

Stiffness Mitigation in Stochastic Particle Flow Filters.

Liyi Dai, Fred Daum

IEEE Trans. Aerosp. Electron. Syst., 2022

On the Role of the Diffusion Matrix in Stiffness Mitigation for Stochastic Particle Flow Filters.

Liyi Dai, Fred Daum

Proceedings of the 25th International Conference on Information Fusion, 2022

2021

Stability and Convergence of Stochastic Particle Flow Filters.

Liyi Dai, Fred Daum

Proceedings of the 24th IEEE International Conference on Information Fusion, 2021

2020

Bias CRLB in Sine Space for a Three-Dimensional Sensor.

Michael Kowalski, Yaakov Bar-Shalom, Peter Willett, Djedjiga Belfadel, Fred Daum

IEEE Trans. Aerosp. Electron. Syst., 2020

2018

New Theory and Numerical Results for Gromov's Method for Stochastic Particle Flow Filters.

Fred Daum, Jim Huang, Arjang Noushin

Proceedings of the 21st International Conference on Information Fusion, 2018

2017

The Multidimensional Cramér-Rao-Leibniz Lower Bound for Likelihood Functions With Parameter-Dependent Support.

Qin Lu, Yaakov Bar-Shalom, Peter Willett, Francesco Palmieri, Fred Daum

IEEE Trans. Aerosp. Electron. Syst., 2017

Multidimensional Cramér-Rao-Leibniz lower bound for vector-measurement-based likelihood functions with parameter-dependent support.

Qin Lu, Yaakov Bar-Shalom, Peter Willett, Francesco A. N. Palmieri, Fred Daum

Proceedings of the 20th International Conference on Information Fusion, 2017

2016

Gromov's method for Bayesian stochastic particle flow: A simple exact formula for Q.

Fred Daum, Jim Huang, Arjang Noushin

Proceedings of the 2016 IEEE International Conference on Multisensor Fusion and Integration for Intelligent Systems, 2016

Adaptive step size approach to homotopy-based particle filtering Bayesian update.

Shozo Mori, Fred Daum, Joel Douglas

Proceedings of the 19th International Conference on Information Fusion, 2016

Seven dubious methods to compute optimal Q for Bayesian stochastic particle flow.

Fred Daum

Proceedings of the 19th International Conference on Information Fusion, 2016

2015

Nonlinear Filters.

Frederick E. Daum

Proceedings of the Encyclopedia of Systems and Control, 2015

Kalman Filters.

Frederick E. Daum

Proceedings of the Encyclopedia of Systems and Control, 2015

Extended Kalman Filters.

Frederick E. Daum

Proceedings of the Encyclopedia of Systems and Control, 2015

Renormalization group flow in k-space for nonlinear filters, Bayesian decisions and transport.

Fred Daum, Jim Huang

Proceedings of the 18th International Conference on Information Fusion, 2015

2014

CRLB for likelihood functions with parameter-dependent support.

Yaakov Bar-Shalom, Richard W. Osborne III, Peter Willett, Frederick E. Daum

IEEE Trans. Aerosp. Electron. Syst., 2014

Cramér-Rao-Leibniz Lower Bound - A new estimation bound for finite support measurement noise.

Yaakov Bar-Shalom, Richard W. Osborne III, Peter Willett, Frederick E. Daum

Proceedings of the 53rd IEEE Conference on Decision and Control, 2014

2013

Particle flow for nonlinear filters, Bayesian decisions and transport.

Fred Daum, Jim Huang

Proceedings of the 16th International Conference on Information Fusion, 2013

2012

Particle flow and Monge-Kantorovich transport.

Fred Daum, Jim Huang

Proceedings of the 15th International Conference on Information Fusion, 2012

2011

Particle flow for nonlinear filters.

Fred Daum, Jim Huang

Proceedings of the IEEE International Conference on Acoustics, 2011

2008

MIMO radar: Snake oil or good idea?

Fred Daum, Jim Huang

Proceedings of the 42nd Asilomar Conference on Signals, Systems and Computers, 2008