Results 1 to 10 of about 441,326 (229)
PRIME: Phase Retrieval via Majorization-Minimization [PDF]
IEEE Transactions on Signal Processing, 2015 This paper considers the phase retrieval problem in which measurements consist of only the magnitude of several linear measurements of the unknown, e.g., spectral components of a time sequence.
Babu, Prabhu +2 more
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2008 10th Brazilian Symposium on Neural Networks, 2008 In this paper, artificial neural networks (ANN) are used to model an extraction process that uses a supercritical fluid as solvent which its pilot installation is located at the Institute of Experimental and Technological Biology - IBET in Oeiras - Lisbon - Portugal.
Rosana Paula de Oliveira Soares +3 more
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Well-Conditioned Linear Minimum Mean Square Error Estimation [PDF]
IEEE Control Systems Letters, 2022 Linear minimum mean square error (LMMSE) estimation is often ill-conditioned, suggesting that unconstrained minimization of the mean square error is an inadequate approach to filter design.
Edwin K. P. Chong
semanticscholar +1 more source
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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