Results 71 to 80 of about 46,224 (313)
Backward Optimized Orthogonal Matching Pursuit
, 2004 Accpeted for publication in IEEE Signal Processing Letters- 15 ...
Andrle, M. +2 more
openaire +2 more sources
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Accurate localization of epileptogenic tubers (ETs) in patients with tuberous sclerosis complex (TSC) is essential but challenging, as these tubers lack distinct pathological or genetic markers to differentiate them from other cortical tubers.
Tinghong Liu +11 more
wiley +1 more source
Direction of Arrival Estimation by Matching Pursuit Algorithm With Subspace Information
IEEE Access, 2021 Traditional orthogonal matching pursuit (OMP) algorithms for direction of arrival (DOA) estimation suffer from poor angular resolution and noise suppression. In this paper, we analyze the reason why the OMP algorithm has difficulties in resolving closely
Yang Zhao +3 more
doaj +1 more source
Fast Non-Negative Orthogonal Matching Pursuit [PDF]
IEEE Signal Processing Letters, 2015 One of the important classes of sparse signals is the non-negative signals. Many algorithms have already been proposed to recover such non-negative representations, where greedy and convex relaxed algorithms are among the most popular methods. The greedy techniques have been modified to incorporate the non-negativity of the representations.
Yaghoobi, Mehrdad +2 more
openaire +2 more sources
Immune‐Driven Expression in Inclusion Body Myositis With T‐Cell Large Granular Lymphocytic Leukemia
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objectives T‐cell large granular lymphocytic leukemia (T‐LGLL), reported in up to 58% of inclusion body myositis (IBM) patients, is a rare leukemia of cytotoxic or less commonly helper T cells. The range of myopathies in T‐LGLL and the impact of coexisting T‐LGLL in IBM are not well understood. Our objectives are to investigate the spectrum of
Pannathat Soontrapa +10 more
wiley +1 more source
An Optimal Condition for the Block Orthogonal Matching Pursuit Algorithm
IEEE Access, 2018 Recovery of the support of a block K-sparse signal x from a linear model y = Ax + v, where A is a sensing matrix and v is a noise vector, arises from many applications.
Jinming Wen +2 more
doaj +1 more source
Perturbation Analysis of Orthogonal Matching Pursuit [PDF]
IEEE Transactions on Signal Processing, 2013 29 ...
Ding, Jie, Chen, Laming, Gu, Yuantao
openaire +2 more sources
One-Bit Compressed Sensing by Greedy Algorithms [PDF]
, 2013 Sign truncated matching pursuit (STrMP) algorithm is presented in this paper. STrMP is a new greedy algorithm for the recovery of sparse signals from the sign measurement, which combines the principle of consistent reconstruction with orthogonal matching
Gong, Da, Liu, Wenhui, Xu, Zhiqiang
core
New Coherence and RIP Analysis for Weak Orthogonal Matching Pursuit
, 2014 In this paper we define a new coherence index, named the global 2-coherence, of a given dictionary and study its relationship with the traditional mutual coherence and the restricted isometry constant.
de Hoog, Frank, Yang, Mingrui
core +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Background and Objectives Multiple sclerosis (MS) exhibits racially disparate rates of disease progression. Black people with MS (B‐PwMS) experience a more severe disease course than non‐Hispanic White people with MS (NHW‐PwMS). Here we investigated structural and functional connectivity as well as structure–function decoupling in the ...
Emilio Cipriano +11 more
wiley +1 more source