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Simultaneous Numerical Determination of Two Time-dependent Coefficients in Second Order Parabolic Equation With Nonlocal Initial and Boundary Conditions. [PDF]
F1000ResA J Al-Shatrah M, Sabah Hussein M.
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Joint Design of Hybrid Beamforming and Phase Shifts for IRS-Assisted Multi-User mmWave Systems. [PDF]
Sensors (Basel)Zhang R, Wang Y.
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Steady-state error in adaptive mean-square minimization
IEEE Transactions on Information Theory, 1970This paper considers the steady-state mean-square error when an adaptive linear estimator is used on a stationary time series. The estimator weights are adjusted periodically by moving a small increment in the direction of the estimated gradient. Under very general conditions the asymptotic mean-square error is bounded and under more restrictive ...
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IEEE Transactions on Signal Processing, 2011
In the past, ad hoc methods have been used to choose gains in proportionate-type normalized least mean-square algorithms without strong theoretical under-pinnings. In this correspondence, a theoretical framework and motivation for adaptively choosing gains is presented, such that the mean-square error will be minimized at any given time. As a result of
Kevin Wagner, Milos Doroslovacki
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In the past, ad hoc methods have been used to choose gains in proportionate-type normalized least mean-square algorithms without strong theoretical under-pinnings. In this correspondence, a theoretical framework and motivation for adaptively choosing gains is presented, such that the mean-square error will be minimized at any given time. As a result of
Kevin Wagner, Milos Doroslovacki
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Structural and Multidisciplinary Optimization, 2020
Surrogate models are often used as surrogates for computationally intensive simulations. And there are a variety of surrogate models which are widely used in aerospace engineering–related investigation and design. In general, there is an optimal individual surrogate for a certain research object.
Yifan Ye, Zhanxue Wang, Xiaobo Zhang
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Surrogate models are often used as surrogates for computationally intensive simulations. And there are a variety of surrogate models which are widely used in aerospace engineering–related investigation and design. In general, there is an optimal individual surrogate for a certain research object.
Yifan Ye, Zhanxue Wang, Xiaobo Zhang
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Minimization of mean-square error for data transmitted via group codes
IEEE Transactions on Information Theory, 1969We show how to find solutions to the problem considered by Mitryayev [l ] in the case where the loss power function is quadratic. This problem is to minimize mean-square error when digital data is represented by group code combinations and the a priori probability distribution is uniform.
Crimmins, T. R. +3 more
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Robust Least-Squares Support Vector Machine With Minimization of Mean and Variance of Modeling Error
IEEE Transactions on Neural Networks and Learning Systems, 2017The least-squares support vector machine (LS-SVM) is a popular data-driven modeling method and has been successfully applied to a wide range of applications. However, it has some disadvantages, including being ineffective at handling non-Gaussian noise as well as being sensitive to outliers.
Xinjiang Lu +3 more
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A binning formula of bi-histogram for joint entropy estimation using mean square error minimization
Pattern Recognition Letters, 2018Abstract Histograms have extensively been used as a simple tool for nonparametric probability density function estimation. However, practically, the accuracy of some histogram-based derived quantities, such as the marginal entropy (ME), the joint entropy (JE), or the mutual information (MI) depends on the number of bins chosen for the histogram.
Hacine-Gharbi, Abdenour +1 more
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Mean-Square Error Minimization of Boiling Reactor Noise
Nuclear Science and Engineering, 1962An analytical approach is taken to develop a model of an optimum linear control system for a linearized approximation to a boiling water reactor. The optimization criterion used is the minimization of the mean-square error of the random fluctuation in the output variable resulting from boiling voids.
Lynn E. Weaver, Kenneth R. Katsma
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