Results 11 to 20 of about 6,277,482 (253)
Convergence of Monte Carlo simulations involving the mean-reverting square root process [PDF]
, 2005 The mean-reverting square root process is a stochastic differential equation (SDE) that has found considerable use as a model for volatility, interest rate, and other financial quantities.
Mao, X., Mao, Xuerong, Higham, D.J.
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Normalized Root-Mean-Square Error (RMSE) of TorchDIVA motor signal.
, 2023 Normalized Root-Mean-Square Error (RMSE) of TorchDIVA motor signal.
Visar Berisha (2218258) +2 more
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Root-Mean-Square-Error (RMSE) of registration.
, 2022 RMSE of the point cloud registration, Eq (1), averaged over 10 different time frames and for all possible slab locations as functions of slab thickness for 1mm and 2.5mm slice thicknesses of moving slabs of scaphoid, capitate, and lunate.
Kevin M. Koch (10210935) +4 more
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Active Noise Control System Based on the Improved Equation Error Model
Acoustics, 2021 This paper presents an algorithm structure for an active noise control (ANC) system based on an improved equation error (EE) model that employs the offline secondary path modeling method.
Jun Yuan +4 more
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BER and NCMSE based Estimation algorithms for Underwater Noisy Channels [PDF]
EAI Endorsed Transactions on Internet of Things, 2017 Channel estimation and equalization of sparse multipath channels is a real matter of concern for researchers in the recent past. Such type of channel impulse response is depicted by a very few significant non-zero taps that are widely separated in time ...
Fahad Khalil Paracha +4 more
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Scalable kernel-based minimum mean square error estimate for light-field image compression
EURASIP Journal on Image and Video Processing, 2018 Light-field imaging can capture both spatial and angular information of a 3D scene and is considered as a prospective acquisition and display solution to supply a more natural and fatigue-free 3D visualization.
Zhixiang You, Ping An, Deyang Liu
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, 2020 : Use of suitable auxiliary information is always suggested in literature at the planning and estimation stage to make the estimators more powerful in terms of efficiency.
Khare, Supriya; Banaras Hindu University +2 more
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Where Does Minimum Error Entropy Outperform Minimum Mean Square Error? A New and Closer Look
IEEE Access, 2018 The past decade has seen a rapid application of information theoretic learning (ITL) criteria in robust signal processing and machine learning problems. Generally, in ITL's literature, it is seen that, under non-Gaussian assumptions, especially when the ...
Ahmad Reza Heravi, Ghosheh Abed Hodtani
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Stochastic analysis of an error power ratio scheme applied to the affine combination of two LMS adaptive filters [PDF]
, 2011 The affine combination of two adaptive filters that simultaneously adapt on the same inputs has been actively investigated. In these structures, the filter outputs are linearly combined to yield a performance that is better than that of either filter ...
Jean-Yves Tourneret +5 more
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Root mean square error of the mean.
, 2022 The root mean square error, or root mean square difference between the estimate and the true value, of the mean parameter value from the Bayesian posterior.
Van N. T. La (13883542) +3 more
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