Results 11 to 20 of about 223,012 (309)
International Journal of Distributed Sensor Networks, 2022 One of the fundamental problems in sensor networks is to estimate and track the target states of interest that evolve in the sensing field. Distributed filtering is an effective tool to deal with state estimation in which each sensor only communicates ...
Teng Shao
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Modeling of Activated Sludge Process Using Multi-Layer Perceptron Neural Networks [PDF]
Nature Environment and Pollution Technology, 2023 Mathematical Modeling of the activated sludge process (ASP) enhances the understanding of the process and improves the quality of the effluent released.
Saurabh Sahadev , G. Madhu and M. Roy Thomas
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Minimum Mean Squared Error interference alignment [PDF]
2009 Conference Record of the Forty-Third Asilomar Conference on Signals, Systems and Computers, 2009 To achieve the full multiplexing gain of MIMO interference networks at high SNRs, the interference from different transmitters must be aligned in lower-dimensional subspaces at the receivers. Recently a distributed “max-SINR” algorithm for precoder optimization has been proposed that achieves interference alignment for sufficiently high SNRs.
David A. Schmidt +4 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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IEEE Access, 2020 For linear dynamic systems with Gaussian noise, the Kalman filter provides the Minimum Mean-Square Error (MMSE) state estimation by tracking the posterior. Similarly, for systems with Gaussian Mixture (GM) noise distributions, a bank of Kalman filters or
Leila Pishdad, Fabrice Labeau
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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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Entropy, 2022 Multiple-input Multiple-Output (MIMO) systems require orthogonal frequency division multiplexing to operate efficiently in multipath communication (OFDM).
Dhanasekaran S +5 more
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Minimum mean square error estimation [PDF]
Applications of Mathematics, 1979 In many cases we can consider the regression parameters as realizations of a random variable. In these situations the minimum mean square error estimator seems to be useful and important. The explicit form of this estimator is given in the case that both the covariance matrices of the random parameters and those of the error vector are singular.
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LPI Optimization Framework for Radar Network Based on Minimum Mean-Square Error Estimation
Entropy, 2017 This paper presents a novel low probability of intercept (LPI) optimization framework in radar network by minimizing the Schleher intercept factor based on minimum mean-square error (MMSE) estimation.
Ji She +3 more
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IEEE Access, 2020 This work proposes novel techniques toward the design of optimal pilot sequences to perform channel estimation in block transmission systems over wideband frequency selective wireless fading channels.
Manjeer Majumder, Aditya K. Jagannatham
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