Results 11 to 20 of about 279,028 (324)
ISAR Imaging Algorithm Based on Iterative Weighted L2/L1 Norm Block Sparse Signal Recovery [PDF]
Jisuanji gongcheng, 2018 In order to realize fast and high resolution Inverse Synthetic Aperture Radar(ISAR)imaging,an iterative weighted L2/L1 norm block sparse recovery algorithm for ISAR imaging is proposed based on the target’s intrinsic block sparse structure information ...
FENG Junjie,ZHANG Gong
doaj +1 more source
Sparse Recovery Using Sparse Matrices [PDF]
Proceedings of the IEEE, 2010 In this paper, we survey algorithms for sparse recovery problems that are based on sparse random matrices. Such matrices has several attractive properties: they support algorithms with low computational complexity, and make it easy to perform incremental updates to signals.
Gilbert, Anna, Indyk, Piotr
openaire +3 more sources
Remote Sensing, 2022 Synthetic aperture radar (SAR) is susceptible to radio frequency interference (RFI), which becomes especially commonplace in the increasingly complex electromagnetic environments.
Yi Ding +4 more
doaj +1 more source
ISAR Imaging of Non-Stationary Moving Target Based on Parameter Estimation and Sparse Decomposition
Remote Sensing, 2023 This paper studies the inverse synthetic aperture radar imaging problem for a non-stationary moving target and proposes a non-search imaging method based on parameter estimation and sparse decomposition.
Can Liu +3 more
doaj +1 more source
Sparse Recovery With Graph Constraints [PDF]
IEEE Transactions on Information Theory, 2015 Sparse recovery can recover sparse signals from a set of underdetermined linear measurements. Motivated by the need to monitor large-scale networks from a limited number of measurements, this paper addresses the problem of recovering sparse signals in the presence of network topological constraints.
null Meng Wang +3 more
openaire +3 more sources
An Overview on Sparse Recovery-based STAP
Leida xuebao, 2014 This paper gives a brief review on the Sparse-Recovery (SR)-based Space-Time Adaptive Processing (STAP) technique. First, the motivation for introducing sparse recovery into STAP is presented.
Ma Ze-qiang +3 more
doaj +1 more source
Sparse Recovery Analysis of Preconditioned Frames via Convex Optimization [PDF]
, 2017 Orthogonal Matching Pursuit and Basis Pursuit are popular reconstruction algorithms for recovery of sparse signals. The exact recovery property of both the methods has a relation with the coherence of the underlying redundant dictionary, i.e. a frame.
Jampana, Phanindra +3 more
core +2 more sources
Approximate sparse recovery [PDF]
Proceedings of the forty-second ACM symposium on Theory of computing, 2010 An approximate sparse recovery system consists of parameters $k,N$, an $m$-by-$N$ measurement matrix, $ $, and a decoding algorithm, $\mathcal{D}$. Given a vector, $x$, the system approximates $x$ by $\widehat x =\mathcal{D}( x)$, which must satisfy $\| \widehat x - x\|_2\le C \|x - x_k\|_2$, where $x_k$ denotes the optimal $k$-term approximation to $
Gilbert, Anna C. +3 more
openaire +2 more sources
Mathematics, 2019 Compressed sensing theory is widely used in the field of fault signal diagnosis and image processing. Sparse recovery is one of the core concepts of this theory.
Dingfei Jin +3 more
doaj +1 more source
High-resolution Sparse Self-calibration Imaging for Vortex Radar with Phase Error
Leida xuebao, 2021 The Orbital Angular Momentum (OAM)-based vortex radar has drawn increasing attention because of its potential for high-resolution imaging. The vortex radar high resolution imaging with limited OAM modes is commonly solved by sparse recovery, in which the
Haiyou QU +3 more
doaj +1 more source