Results 261 to 270 of about 441,425 (328)
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Mean square error minimization in a nonstationary system
IEEE Transactions on Automatic Control, 1965This paper gives a method for the analysis and synthesis of a controller to track a time-varying optimum operating point. In particular, the maximization of the average of a quadratic performance index of a general system is considered where not only the location of the maximum is time-varying, but also the shape of the performance index function.
A. Lavi, E. Mastascusa
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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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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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2015 IEEE 34th International Performance Computing and Communications Conference (IPCCC), 2015
Using the Global Positioning System (GPS) for indoor localization is challenging as the GPS signal is significantly attenuated or completely blocked by the building. In achieving indoor localization, a set of transmitters from wireless communication networks are often used as reference nodes to localize target nodes with unknown locations. The accuracy
null Fei Long +2 more
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Using the Global Positioning System (GPS) for indoor localization is challenging as the GPS signal is significantly attenuated or completely blocked by the building. In achieving indoor localization, a set of transmitters from wireless communication networks are often used as reference nodes to localize target nodes with unknown locations. The accuracy
null Fei Long +2 more
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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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Journal of Statistical Planning and Inference, 2006
We reconsider and extend the method of designing nonlinear experiments presented in Pázman and Pronzato (J. Statist. Plann. Inference 33 (1992) 385). The approach is based on the probability density of the LS estimators, and takes into account the boundary of the parameter space. The idea is to express the elements of the mean square error matrix (MSE)
Gauchi, Jean-Pierre, Pázman, A.
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We reconsider and extend the method of designing nonlinear experiments presented in Pázman and Pronzato (J. Statist. Plann. Inference 33 (1992) 385). The approach is based on the probability density of the LS estimators, and takes into account the boundary of the parameter space. The idea is to express the elements of the mean square error matrix (MSE)
Gauchi, Jean-Pierre, Pázman, A.
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Best linear estimation via minimization of relative mean squared error
Statistics and Computing, 2017zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lin Su, Howard D. Bondell
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Fixed-Point Minimum Error Entropy With Fiducial Points
IEEE Transactions on Signal Processing, 2020Compared with traditional learning criteria, such as minimum mean square error (MMSE), the minimum error entropy (MEE) criterion has received increasing attention in the domains of nonlinear and non-Gaussian signal processing and machine learning.
Yuqing Xie +4 more
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Nonlinear One-bit Precoding for Massive MIMO Downlink: Minimizing the Maximum Mean Squared Error
2021 IEEE Wireless Communications and Networking Conference (WCNC), 2021In this paper, we study the nonlinear one-bit pre-coding in the massive multiple-input multiple-output downlink system. Different from the conventional criterion of minimizing the sum of mean squared error (min-sum MSE) of all users, the criterion of minimizing the maximum MSE (min-max MSE) is considered here which is more suitable for communications ...
Xingyu Yuan, Jianping Zheng
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Optimal Information Criteria Minimizing Their Asymptotic Mean Square Errors
Sankhya B, 2016zbMATH Open Web Interface contents unavailable due to conflicting licenses.
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