Results 1 to 10 of about 243,165 (311)
Augmented GNSS Differential Corrections Minimum Mean Square Error Estimation Sensitivity to Spatial Correlation Modeling Errors [PDF]
Railway signaling is a safety system that has evolved over the last couple of centuries towards autonomous functionality. Recently, great effort is being devoted in this field, towards the use and exploitation of Global Navigation Satellite System (GNSS)
Nazelie Kassabian +2 more
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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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Bayesian minimum mean square error for transmissivity sensing
We address the problem of estimating the transmissivity of the pure-loss single-mode bosonic channel from the Bayesian point of view, i.e., when a prior probability distribution function (PDF) on the transmissivity is available.
Boyu Zhou +3 more
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This paper discusses the results of simulations relating to the performances of turbo codes, low density parity check (LDPC) codes, and polar codes over an additive white Gaussian noise (AWGN) channel in the presence of inter symbol interference ...
Adriana-Maria Cuc +2 more
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Minimum Mean-Squared-Error autocorrelation processing in coprime arrays [PDF]
Coprime arrays enable Direction-of-Arrival (DoA) estimation of an increased number of sources. To that end, the receiver estimates the autocorrelation matrix of a larger virtual uniform linear array (coarray), by applying selection or averaging to the physical array's autocorrelation estimates, followed by spatial-smoothing.
Dimitris G. Chachlakis +3 more
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This paper addresses the problem of minimum mean square error channel estimator for time division duplex massive multi‐user multi‐input multi‐output systems. It is noteworthy that, the minimum mean square error has been previously proposed for multi‐cell
Muamer Hawej, Yousef R. Shayan
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Approximate Formulas for the Gamma Function with Positive Argument [PDF]
This paper introduces four approximate formulas for calculating r (x), x ε R+. They produce approximate values which are "very close " to the tabulated ones. One of the formulas gives correct results up to at least five decimal places.
Abdul-Mordy Azzam, Yehia Abbas
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Modeling of Activated Sludge Process Using Multi-Layer Perceptron Neural Networks [PDF]
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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Where Does Minimum Error Entropy Outperform Minimum Mean Square Error? A New and Closer Look
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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Scalable kernel-based minimum mean square error estimate for light-field image compression
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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