Dr. Arjang Noushin Profile

Dr. Arjang Noushin

at RTX Corp

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Author

Publications (11)

Proceedings Article | 7 June 2024 Presentation + Paper

Bulletproofing Bayesian particle flow against stiffness

Fred Daum, Liyi Dai, Jim Huang, Arjang Noushin

Proceedings Volume 13057, 1305708 (2024) https://doi.org/10.1117/12.3004205

KEYWORDS: Nonlinear filtering, Particle filters, Deep learning, Numerical integration, Differential equations, Condition numbers, Stochastic processes, Covariance matrices

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Proceedings Article | 7 May 2019 Presentation + Paper

Extremely deep Bayesian learning with Gromov's method

Fred Daum, Jim Huang, Arjang Noushin

Proceedings Volume 11018, 110180I (2019) https://doi.org/10.1117/12.2517980

KEYWORDS: Particles, Neural networks, Stochastic processes, Particle filters, Nonlinear filtering, Filtering (signal processing), Video, Neurons, Electronic filtering, Diffusion

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Proceedings Article | 2 May 2017 Paper

Numerical experiments for Gromov’s stochastic particle flow filters

Fred Daum, Arjang Noushin, Jim Huang

Proceedings Volume 10200, 102000J (2017) https://doi.org/10.1117/12.2248750

KEYWORDS: Error analysis, MATLAB, Linear filtering, Optimal filtering, Particle filters, Probability theory, Nonlinear filtering, Stochastic processes, Filtering (signal processing), Diffusion

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Proceedings Article | 2 May 2017 Presentation + Paper

Generalized Gromov method for stochastic particle flow filters

Fred Daum, Jim Huang, Arjang Noushin

Proceedings Volume 10200, 102000I (2017) https://doi.org/10.1117/12.2248723

KEYWORDS: Palladium, Differential equations, Algorithms, Particle filters, Diffusion, Stochastic processes, Probability theory, Nonlinear filtering, Filtering (signal processing), Monte Carlo methods

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Proceedings Article | 17 May 2016 Paper

A friendly rebuttal to Mallick and Sindhu on particle flow for Bayes' rule

Fred Daum, Jim Huang, Arjang Noushin

Proceedings Volume 9842, 98420H (2016) https://doi.org/10.1117/12.2217758

KEYWORDS: Particles, Filtering (signal processing), Particle filters, Nonlinear filtering, Logic, Physics, Time metrology, Stochastic processes, Differential equations, Diffusion

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Proceedings Article | 17 September 2011 Paper

Numerical experiments for Coulomb's law particle flow for nonlinear filters

Fred Daum, Jim Huang, Arjang Noushin

Proceedings Volume 8137, 81370E (2011) https://doi.org/10.1117/12.887521

KEYWORDS: Particles, Nonlinear filtering, Particle filters, Algorithm development, Signal processing, Signal to noise ratio, Algorithms, Interference (communication), Electronic filtering, Filtering (signal processing)

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Proceedings Article | 17 September 2011 Paper

Coulomb's law particle flow for nonlinear filters

Fred Daum, Jim Huang, Arjang Noushin

Proceedings Volume 8137, 81370B (2011) https://doi.org/10.1117/12.887514

KEYWORDS: Particles, Nonlinear filtering, Particle filters, Algorithm development, Palladium, Convolution, Monte Carlo methods, Algorithms, Diffusion, Physics

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Proceedings Article | 28 April 2010 Paper

Exact particle flow for nonlinear filters

Fred Daum, Jim Huang, Arjang Noushin

Proceedings Volume 7697, 769704 (2010) https://doi.org/10.1117/12.839590

KEYWORDS: Particles, Particle filters, Nonlinear filtering, Probability theory, Filtering (signal processing), Monte Carlo methods, Fluid dynamics, Palladium, Diffusion, Computing systems

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Proceedings Article | 29 April 2009 Paper

Gradient estimation for particle flow induced by log-homotopy for nonlinear filters

Frederick Daum, Jim Huang, A. Noushin, Misha Krichman

Proceedings Volume 7336, 733602 (2009) https://doi.org/10.1117/12.817391

KEYWORDS: Particles, Fourier transforms, Particle filters, Nonlinear filtering, Chemistry, Physics, Algorithm development, Geology, Filtering (signal processing), Statistical analysis

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Proceedings Article | 4 April 2008 Paper

Some interesting observations regarding the initialization of unscented and extended Kalman filters

A. Noushin, F. Daum

Proceedings Volume 6968, 696802 (2008) https://doi.org/10.1117/12.769211

KEYWORDS: Filtering (signal processing), Error analysis, Electronic filtering, Nonlinear filtering, Time metrology, Signal processing, Solids, Differential equations, Complex systems, Monte Carlo methods

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Proceedings Article | 9 December 1997 Paper

Optical imaging from scattering data: imaging from Fourier-intensity data

A. Noushin, Michael Fiddy, Drew Pommet

Proceedings Volume 3171, (1997) https://doi.org/10.1117/12.284713

KEYWORDS: Optical imaging, Scattering, Fourier transforms, Phase retrieval

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Showing 5 of 11 publications

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