Results 31 to 40 of about 22,995 (237)
Unambiguous range extension for pulse‐Doppler radar via Poisson disk sampling
IET Radar, Sonar & Navigation, 2021 Since the maximum unambiguous range in the traditional single‐channel pulse‐Doppler (PD) radar is restricted by the pulse repetition interval (PRI), there is a trade‐off between the maximum unambiguous range and the maximum unambiguous velocity.
Boyuan Dong +3 more
doaj +1 more source
Correntropy Based Matrix Completion
Entropy, 2018 This paper studies the matrix completion problems when the entries are contaminated by non-Gaussian noise or outliers. The proposed approach employs a nonconvex loss function induced by the maximum correntropy criterion.
Yuning Yang +2 more
doaj +1 more source
MathematicsSeismic inversion is a process of imaging or predicting the spatial and physical properties of underground strata. The most commonly used one is sparse-spike seismic inversion with sparse regularization.
Yue Feng, Ronghuo Dai, Zidan Fan
doaj +1 more source
Singular Value Thresholding Algorithm for Wireless Sensor Network Localization
Mathematics, 2020 Wireless Sensor Networks (WSN) are of great current interest in the proliferation of technologies. Since the location of the sensors is one of the most interesting issues in WSN, the process of node localization is crucial for any WSN-based applications.
Yasmeen Nadhirah Ahmad Najib +2 more
doaj +1 more source
, 2013 Sparse reconstruction approaches using the re-weighted l1-penalty have been shown, both empirically and theoretically, to provide a significant improvement in recovering sparse signals in comparison to the l1-relaxation.
Aravkin, Aleksandr, Malioutov, Dmitry
core +1 more source
CLEAR: Covariant LEAst-square Re-fitting with applications to image restoration [PDF]
, 2016 In this paper, we propose a new framework to remove parts of the systematic errors affecting popular restoration algorithms, with a special focus for image processing tasks.
Deledalle, C-A. +3 more
core +3 more sources
Dentate Gyrus circuitry features improve performance of sparse approximation algorithms. [PDF]
PLoS ONE, 2015 Memory-related activity in the Dentate Gyrus (DG) is characterized by sparsity. Memory representations are seen as activated neuronal populations of granule cells, the main encoding cells in DG, which are estimated to engage 2-4% of the total population.
Panagiotis C Petrantonakis +1 more
doaj +1 more source
A Topology Optimization Framework for the Inverse Design of Nonlinear Mechanical Metamaterials
Advanced Engineering Materials, EarlyView.This work uses topology optimization to design unit cells for mechanical metamaterials with a prescribed nonlinear stress–strain response. The framework adds contact and postbuckling modeling to synthesize microstructures for three highly nonlinear responses, including pseudoductile behavior, monostable with snap‐through buckling, and bistable ...
Charlie Aveline +2 more
wiley +1 more source
Sparse Solution of Underdetermined Linear Equations via Adaptively Iterative Thresholding [PDF]
, 2013 Finding the sparset solution of an underdetermined system of linear equations $y=Ax$ has attracted considerable attention in recent years. Among a large number of algorithms, iterative thresholding algorithms are recognized as one of the most efficient ...
Lin, Shaobo, Xu, Zongben, Zeng, Jinshan
core
$L_{1/2}$ Regularization: Convergence of Iterative Half Thresholding Algorithm
, 2014 In recent studies on sparse modeling, the nonconvex regularization approaches (particularly, $L_{q}$ regularization with $q\in(0,1)$) have been demonstrated to possess capability of gaining much benefit in sparsity-inducing and efficiency.
Lin, Shaobo +3 more
core +1 more source