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Secure robust collaborative spectrum sensing in the presence of smart attackers
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
In this paper, collaborative spectrum sensing to detect random signals corrupted by Gaussian noise in the presence of smart attackers is studied. Unlike to the most of related works, we consider a blind attacker detection ...
Stochastic event-triggered particle filtering for state estimation
(
Institute of Electrical and Electronics Engineers Inc.
, 2016 , Conference Paper)
In this paper, the problem of event-triggered (ET) state estimation is studied for nonlinear non-Gaussian systems. Particle filtering (PF) state estimation approach is developed for systems with stochastic ET measurements ...
Secure DoF for the MIMO MAC: The case of knowing eavesdropper's channel statistics only
(
Institute of Electrical and Electronics Engineers Inc.
, 2019 , Conference Paper)
Physical layer security has attracted research attention as a means to achieve secure communication without the need for complicated upper layer encryption techniques. The secure degrees of freedom (SDoF) of various networks ...
Simultaneous distributed estimation and attack detection/isolation in social networks: Structural observability, kronecker-product network, and chi-square detector
(
Institute of Electrical and Electronics Engineers Inc.
, 2021 , Conference Paper)
This paper considers distributed estimation of linear systems when the state observations are corrupted with Gaussian noise of unbounded support and under possible random adversarial attacks. We consider sensors equipped ...
A Bayesian approach for model identification of LPV systems with uncertain scheduling variables
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
This paper presents a Gaussian Process (GP) based Bayesian method that takes into account the effect of additive noise on the scheduling variables for identification of linear parameter-varying (LPV) models in input-output ...
Undecimated wavelet-based Bayesian denoising in mixed Poisson-Gaussian noise with application on medical and biological images
(
Institute of Electrical and Electronics Engineers Inc.
, 2015 , Conference Paper)
Due to photon and readout noise biomedical images are generally contaminated by a mixed Poisson-Gaussian noise. In this paper, we propose a Bayesian image denoising methodology for images corrupted by a mixed Poisson-Gaussian ...
Optimization of collaborative spectrum sensing with limited time resource
(
Springer Verlag
, 2015 , Conference Paper)
In this paper, Cognitive Radios (CRs) collaborate in spectrum sensing to detect random signals corrupted by Gaussian noise. Our analysis is based on a limited time resource assumption. This implies that the time resource ...