Results 11 to 20 of about 20,057 (276)
A combined method based on kurtosis indexes for estimating p in non-linear Lp-norm regression
The Generalized Error Distribution (G.E.D.) is a very flexible family of symmetric density distributions, which are characterized by their shape parameter p linked to the Lp-norm estimators.
Massimiliano Giacalone
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We focus on the global existence and Lp−Lq rates of convergence for the compressible magnetohydrodynamic equations in R3. We prove the global existence of smooth solutions using the standard energy method under the condition that the initial data are ...
Mohamed Ahmed Abdallah, Zhong Tan
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The Gaussian noise model and estimators based on least squares (LS) are widely used in target localisation with distributed multiple‐input multiple‐output (MIMO) radar because of their computational efficiency.
Jing Yang +5 more
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BUILDING RECONSTRUCTION BASED ON A SMALL NUMBER OF TRACKS USING NONPARAMETRIC SAR TOMOGRAPHIC METHODS [PDF]
Nowadays, the synthetic aperture radar (SAR) tomography (TomoSAR) technique plays a notable role in the 3D reconstruction of urban buildings through several SAR acquisitions with slightly different positions.
M. Omati, M. M. Omati, M. H. Bastani
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A reduced discrete inf-sup condition in Lp for incompressible flows and application [PDF]
In this work, we introduce a discrete specific inf-sup condition to estimate the Lp norm, 1
Chacón Rebollo, Tomás +3 more
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Adaptive Coherent Lp-Norm Combining
In this paper, we introduce an adaptive L p -norm metric for robust coherent diversity combining in non-Gaussian noise and interference. We derive a general closed-form expression for the asymptotic bit error rate (BER) for L p -norm combining in independent non-identically distributed Ricean fading and non-Gaussian noise and interference with finite ...
A. Nasri, A. Nezampour, R. Schober
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Error Bounds for lp-Norm Multiple Kernel Learning with Least Square Loss
The problem of learning the kernel function with linear combinations of multiple kernels has attracted considerable attention recently in machine learning.
Shao-Gao Lv, Jin-De Zhu
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Sparse Adaptive Channel Estimation Based on lp-Norm-Penalized Affine Projection Algorithm
We propose an lp-norm-penalized affine projection algorithm (LP-APA) for broadband multipath adaptive channel estimations. The proposed LP-APA is realized by incorporating an lp-norm into the cost function of the conventional affine projection algorithm (
Yingsong Li +4 more
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Higher Integrability of the Composite Operator T D G for Differential Forms
We firstly prove the higher integrability of the composite operator T D G by using Poincaré-Sobolev inequalities when 1< p < n. Then further consider the case of p ≥ n and obtain the higher order norm estimation of composite operators, by which the ...
ZHAO Pengfei, BI Shujuan, LIU Zhenjie
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Best N-Simultaneous Approximation in Lp(μ,X)
Let X be a Banach space.
Tijani Pakhrou
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