Results 21 to 30 of about 22,995 (237)

Linear Convergence of Adaptively Iterative Thresholding Algorithms for Compressed Sensing [PDF]

, 2015
This paper studies the convergence of the adaptively iterative thresholding (AIT) algorithm for compressed sensing. We first introduce a generalized restricted isometry property (gRIP).
Chang, Xiangyu, Peng, Zhimin, Wang, Yu, Xu, Zongben, Zeng, Jinshan   +4 more
core   +1 more source

Multiview Clustering of Adaptive Sparse Representation Based on Coupled P Systems

Entropy, 2022
A multiview clustering (MVC) has been a significant technique to dispose data mining issues. Most of the existing studies on this topic adopt a fixed number of neighbors when constructing the similarity matrix of each view, like single-view clustering ...
Xiaoling Zhang, Xiyu Liu
doaj   +1 more source

Complex-Valued Sparse SAR-Image-Based Target Detection and Classification

Remote Sensing, 2022
It is known that synthetic aperture radar (SAR) images obtained by typical matched filtering (MF)-based algorithms always suffer from serious noise, sidelobes and clutter. However, the improvement in image quality means that the complexity of SAR systems
Chen Song, Jiarui Deng, Zehao Liu, Bingnan Wang, Yirong Wu, Hui Bi   +5 more
doaj   +1 more source

Pruning Blocks for CNN Compression and Acceleration via Online Ensemble Distillation

IEEE Access, 2019
In this paper, we propose an online ensemble distillation (OED) method to automatically prune blocks/layers of a target network by transferring the knowledge from a strong teacher in an end-to-end manner.
Zongyue Wang, Shaohui Lin, Jiao Xie, Yangbin Lin   +3 more
doaj   +1 more source

Advanced direction of arrival estimation using step‐learnt iterative soft‐thresholding for frequency‐modulated continuous wave multiple‐input multiple‐output radar

IET Radar, Sonar & Navigation, 2023
The number of antennas in automotive frequency‐modulated continuous wave (FMCW) multiple‐input multiple‐output (MIMO) radar systems is increasing. Existing greedy or subspace‐based methods cannot quickly and accurately estimate the direction of arrival ...
Seongmin Hong, Seong‐Cheol Kim, Seongwook Lee   +2 more
doaj   +1 more source

Accelerated Projected Gradient Method for Linear Inverse Problems with Sparsity Constraints

, 2008
Regularization of ill-posed linear inverse problems via $\ell_1$ penalization has been proposed for cases where the solution is known to be (almost) sparse. One way to obtain the minimizer of such an $\ell_1$ penalized functional is via an iterative soft-
A. Chambolle, A. Cohen, A. Cohen, A. Cohen, A. Cohen, B. Efron, C. Canuto, D.L. Donoho, D.L. Donoho, D.L. Donoho, D.L. Donoho, D.L. Donoho, D.L. Donoho, E. Candès, E.J. Candès, E.J. Candès, E.J. Candès, G. Teschke, H. Rauhut, H.W. Engl, I. Daubechies, I. Daubechies, I. Daubechies, I. Loris, Ignace Loris, Ingrid Daubechies, J.-L. Starck, J.-L. Starck, L.M. Brègman, M. Fornasier, M. Fornasier, M. Fornasier, M. Fornasier, M.A.T. Figueiredo, M.A.T. Figueiredo, Massimo Fornasier, O. Christensen, P.L. Combettes, R. Ramlau, S. Dahlke, S. Dahlke, S. Dahlke, S. Mallat, S. Wolfram, Y.I. Alber   +44 more
core   +2 more sources

GPU-Accelerated Algorithms for Compressed Signals Recovery with Application to Astronomical Imagery Deblurring [PDF]

, 2017
Compressive sensing promises to enable bandwidth-efficient on-board compression of astronomical data by lifting the encoding complexity from the source to the receiver.
Fiandrotti, Attilio, Fosson, Sophie M., Magli, Enrico, Ravazzi, Chiara   +3 more
core   +3 more sources

A Designed Thresholding Operator for Low-Rank Matrix Completion

Mathematics
In this paper, a new thresholding operator, namely, designed thresholding operator, is designed to recover the low-rank matrices. With the change of parameter in designed thresholding operator, the designed thresholding operator can apply less bias to ...
Angang Cui, Haizhen He, Hong Yang
doaj   +1 more source

Joint Geometry and Color Point Cloud Denoising Based on Graph Wavelets

IEEE Access, 2021
A point cloud is an effective 3D geometrical presentation of data paired with different attributes such as transparency, normal and color of each point. The imperfect acquisition process of a 3D point cloud usually generates a significant amount of noise.
Muhammad Abeer Irfan, Enrico Magli
doaj   +1 more source

Alternating Iteration for $l_{p}$ ( $0<p\leq 1$ ) Regularized CT Reconstruction

IEEE Access, 2016
The lp (0 <; p <; 1) regularization has attracted a great attention in the compressive sensing field, because it can obtain sparser solutions than the well-known l1 regularization. Recently, we developed an approximate general analytic thresholding
Chuang Miao, Hengyong Yu
doaj   +1 more source