Results 1 to 10 of about 190,116 (291)
Multi-Agent Estimation and Filtering for Minimizing Team Mean-Squared Error [PDF]
IEEE Transactions on Signal Processing, 2021 16 pages, 7 figures, Submitted to the IEEE Transactions on Signal ...
Mohammad Afshari, Aditya Mahajan
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Comparison of main geometric characteristics of deformed sphere and standard spheroid [PDF]
Bulletin of the Polish Academy of Sciences: Technical Sciences, 2023 In the paper we compare the geometric descriptions of the deformed sphere (i.e., the so-called λ-sphere) and the standard spheroid (namely, World Geodetic System 1984’s reference ellipsoid of revolution). Among the main geometric characteristics of those
Vasyl Kovalchuk, Ivaïlo M. Mladenov
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Mean Squared Error Minimization for Inverse Moment Problems [PDF]
Applied Mathematics & Optimization, 2014 We consider the problem of approximating the unknown density $u\in L^2(Ω,λ)$ of a measure $μ$ on $Ω\subset\R^n$, absolutely continuous with respect to some given reference measure $λ$, from the only knowledge of finitely many moments of $μ$. Given $d\in\N$ and moments of order $d$, we provide a polynomial $p_d$ which minimizes the mean square error ...
Henrion, Didier +2 more
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De-Noising of Sparse Signals Using Mixture Model Shrinkage Function
IEEE Access, 2023 In this work a new thresholding function referred to as ’mixture model shrinkage’ (MMS) based on the minimization of a convex cost function is proposed.
Hayat Ullah +4 more
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Minimal mean‐square error for 3D MIMO beamforming weighting [PDF]
Electronics Letters, 2016 The 3D MIMO beamforming system needs a weighting method to determine the direction of beam whist reducing the interference for other beam areas operating at the same carrier frequency. The challenge is to determine the weights of the 3D MIMO beams to direct each beam towards its cluster of user terminals while placing its nulls at ...
Xu, C., Cosmas, John, Zhang, Yue
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A hybrid model for forecasting the consumption of electrical energy in a smart grid
The Journal of Engineering, 2022 This paper develops a novel hybrid model for forecasting electrical consumption based on several deep learning and optimization models such as Support Vector Regression (SVR), Firefly Algorithm (FA) and Adaptive Neuro‐Fuzzy Inference System (ANFIS).
Felix Ghislain Yem Souhe +4 more
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Polar coordinate quantizers that minimize mean-squared error [PDF]
IEEE Transactions on Signal Processing, 1994 A quantizer for complex data is defined by a partition of the complex plane and a representation point associated with each cell of the partition. A polar coordinate quantizer independently quantizes the magnitude and phase angle of complex data. The authors derive design equations for minimum mean-squared error polar coordinate quantizers and report ...
S.D. Voran, L.L. Scharf
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Using Hybird Genetic Algorithm In Audio Steganography [PDF]
المجلة العراقية للعلوم الاحصائية, 2013 In this paper, a proposed method for hiding secret data in audio file (.WAV) is introduced. Genetic algorithm has been hybridized with conjugate gradient algorithm which is one of the methods for solving nonlinear unconstrained minimization problem, the ...
Ban A . Mitras, Nada F. Hassan
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Minimum Probability of Error-Based Equalization Algorithms for Fading Channels
EURASIP Journal on Wireless Communications and Networking, 2007 Novel channel equalizer algorithms are introduced for wireless communication systems to combat channel distortions resulting from multipath propagation.
van der Meulen Edward C +2 more
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Proceedings, 2019 We introduce the notion of privacy in quantum estimation by considering an one-parameter family of isometries taking one input into two output systems.
Milajiguli Rexiti, Stefano Mancini
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