Results 11 to 20 of about 5,042 (258)
BUILDING RECONSTRUCTION BASED ON A SMALL NUMBER OF TRACKS USING NONPARAMETRIC SAR TOMOGRAPHIC METHODS [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 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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Adaptive Coherent Lp-Norm Combining
2009 IEEE International Conference on Communications, 2009 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 ...
Amir Nasri +2 more
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Error Bounds for lp-Norm Multiple Kernel Learning with Least Square Loss
Abstract and Applied Analysis, 2012 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
International Journal of Antennas and Propagation, 2014 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
Journal of Harbin University of Science and Technology, 2023 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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Lp-Norm Constrained One-Class Classifier Combination
CoRR, 2023 Classifier fusion is established as an effective methodology for boosting performance in different settings and one-class classification is no exception. In this study, we consider the one-class classifier fusion problem by modelling the sparsity/uniformity of the ensemble. To this end, we formulate a convex objective function to learn the weights in a
Sepehr Nourmohammadi +1 more
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Multi-View Learning With Robust Generalized Eigenvalue Proximal SVM
IEEE Access, 2019 Multi-view learning mechanism, which enhances learning performance by training multi-model data sets, is a popular filed in recent years. Multi-view generalized eigenvalue proximal support vector machine (MvGSVM), as a most recently proposed classifier ...
Peng Huang +4 more
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Best N-Simultaneous Approximation in Lp(μ,X)
Journal of Function Spaces, 2017 Let X be a Banach space.
Tijani Pakhrou
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An Adaptive Lp Norm Minimization Algorithm for Direction of Arrival Estimation
Remote Sensing, 2022 In this paper, we propose a new direction of arrival (DOA) estimation algorithm, in which DOA estimation is achieved by finding the sparsest support set of multiple measurement vectors (MMV) in an over-complete dictionary. The proposed algorithm is based
Lutao Liu, Zejing Rao
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The Scientific World Journal, 2014 To make use of the sparsity property of broadband multipath wireless communication channels, we mathematically propose an lp-norm-constrained proportionate normalized least-mean-square (LP-PNLMS) sparse channel estimation algorithm.
Yingsong Li, Masanori Hamamura
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