تصفح حسب الموضوع "Gaussian distribution"
السجلات المعروضة 1 -- 6 من 6
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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 ... -
Applying statistical antenna approach in jet engine electromagnetic field analysis
(2013 , Conference Paper)In this paper, statistical antenna approach is applied to develop an equivalent model for the fields generated by a fixed excitation inside a jet engine with dynamic rotating blade. The equivalent model is represented by ... -
Blind SNR Estimation of Gaussian-Distributed Signals in Nakagami Fading Channels
( IEEE , 2015 , Article)A blind (non-data-aided) SNR estimator using the statistical moments of the received signal is proposed. The proposed envelope-based non-data-aided estimator works for any time-domain Gaussian-distributed signal (e.g. OFDM ... -
Event-triggered particle filtering and Cramer-Rao lower bound computation
( SAGE Publications Ltd , 2021 , Article)In this article, an event-triggered particle filtering method is presented to estimate the states of stochastic nonlinear systems with the ultimate goal to reduce the information exchange in networked systems. In the ... -
On the statistical distribution of electric field inside jet engines
(2013 , Conference Paper)Using full wave analysis in 'Ansys HFSS', we obtain the electric field distribution inside a jet engine containing one set of 24 blades due to the excitation provided by a simple Hertzian dipole. Hertzian dipole illuminates ... -
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 ...