Cargando…

A Convex Optimization Algorithm for Compressed Sensing in a Complex Domain: The Complex-Valued Split Bregman Method

The Split Bregman method (SBM), a popular and universal CS reconstruction algorithm for inverse problems with both l(1)-norm and TV-norm regularization, has been extensively applied in complex domains through the complex-to-real transforming technique, e.g., MRI imaging and radar. However, SBM still...

Descripción completa

Detalles Bibliográficos
Autores principales:	Xiong, Kai, Zhao, Guanghui, Shi, Guangming, Wang, Yingbin
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	MDPI 2019
Materias:	Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6832202/ https://www.ncbi.nlm.nih.gov/pubmed/31635423 http://dx.doi.org/10.3390/s19204540

Ejemplares similares

A Bregman-Split-Based Compressive Sensing Method for Dynamic Harmonic Estimation
por: Chi, Aobing, et al.
Publicado: (2022)

Real-Time Compressive Sensing MRI Reconstruction Using GPU Computing and Split Bregman Methods
por: Smith, David S., et al.
Publicado: (2012)

Convex optimization: algorithms and complexity
por: Bubeck, Sébastien
Publicado: (2015)

Split Bregman iteration for multi-period mean variance portfolio optimization
por: Corsaro, Stefania, et al.
Publicado: (2021)

Application of Generalized Split Linearized Bregman Iteration algorithm for Alzheimer's disease prediction
por: Zheng, Weimin, et al.
Publicado: (2020)

MR Image Reconstruction Based on Iterative Split Bregman Algorithm and Nonlocal Total Variation
por: Gopi, Varun P., et al.
Publicado: (2013)

Upper and lower bounds for the Bregman divergence
por: Sprung, Benjamin
Publicado: (2019)

A Method for Lung Boundary Correction Using Split Bregman Method and Geometric Active Contour Model
por: Feng, Changli, et al.
Publicado: (2015)

An Improved Total Variation Minimization Method Using Prior Images and Split-Bregman Method in CT Reconstruction
por: Deng, Luzhen, et al.
Publicado: (2016)

A split Bregman method solving optimal reactive power dispatch for a doubly-fed induction generator-based wind farm
por: Rong, Fei, et al.
Publicado: (2022)

The projected subgradient algorithm in convex optimization
por: Zaslavski, Alexander J
Publicado: (2020)

A weighted denoising method based on Bregman iterative regularization and gradient projection algorithms
por: Tong, Beilei
Publicado: (2017)

Robust Acoustic Imaging Based on Bregman Iteration and Fast Iterative Shrinkage-Thresholding Algorithm
por: Huang, Linsen, et al.
Publicado: (2020)

Strict convexity and complex strict convexity: theory and applications
por: Istratescu
Publicado: (1983)

Interior point approach to linear, quadratic and convex programming: algorithms and complexity
por: Hertog, D
Publicado: (1994)

Complex convexity and analytic functionals
por: Andersson, Mats, et al.
Publicado: (2004)

Block-Active ADMM to Minimize NMF with Bregman Divergences
por: Li, Xinyao, et al.
Publicado: (2023)

A Bregman-proximal point algorithm for robust non-negative matrix factorization with possible missing values and outliers - application to gene expression analysis
por: Chrétien, Stéphane, et al.
Publicado: (2016)

Convex optimization
por: Ruud, Arto
Publicado: (2019)

A Novel Complex-Valued Gaussian Measurement Matrix for Image Compressed Sensing
por: Wang, Yue, et al.
Publicado: (2023)

Global optimization with non-convex constraints: sequential and parallel algorithms
por: Strongin, Roman G, et al.
Publicado: (2000)

Toward a More Complete, Flexible, and Safer Speed Planning for Autonomous Driving via Convex Optimization
por: Zhang, Yu, et al.
Publicado: (2018)

Information Geometry for Radar Target Detection with Total Jensen–Bregman Divergence
por: Hua, Xiaoqiang, et al.
Publicado: (2018)

Information Geometry for Covariance Estimation in Heterogeneous Clutter with Total Bregman Divergence
por: Hua, Xiaoqiang, et al.
Publicado: (2018)

Convex and starlike mappings in several complex variables
por: Gong, Sheng
Publicado: (1998)

An Intelligent Grey Wolf Optimizer Algorithm for Distributed Compressed Sensing
por: Liu, Haiqiang, et al.
Publicado: (2018)

Foundations of complex analysis in non locally convex spaces: function theory without convexity condition
por: Bayoumi, A
Publicado: (2003)

Convex analysis and minimization algorithms
por: Hiriart-Urruty, Jean-Baptiste, et al.
Publicado: (1993)

Convex and stochastic optimization
por: Bonnans, J Frédéric
Publicado: (2019)

Lectures on convex optimization
por: Nesterov, Yurii
Publicado: (2018)

Convex and stochastic optimization /
por: Bonnans, J. F. (Joseph Frédéric), 1957-
Publicado: (2019)

Generalized convexity and optimization
por: Cambini, Alberto, et al.
Publicado: (2008)

A branch-and-bound algorithm for multiobjective mixed-integer convex optimization
por: Rocktäschel, Stefan
Publicado: (2020)

A primal-dual algorithm framework for convex saddle-point optimization
por: Zhang, Benxin, et al.
Publicado: (2017)

On the asymptotic behavior of the Douglas–Rachford and proximal-point algorithms for convex optimization
por: Banjac, Goran, et al.
Publicado: (2021)

Reconstruction Method for Optical Tomography Based on the Linearized Bregman Iteration with Sparse Regularization
por: Leng, Chengcai, et al.
Publicado: (2015)

Wireless Sensor Network Localization via Matrix Completion Based on Bregman Divergence
por: Liu, Chunsheng, et al.
Publicado: (2018)

Lectures on modern convex optimization : analysis, algorithms, and engineering applications /
por: Ben-Tal, A.
Publicado: (2001)

A Non-Convex Compressed Sensing Model Improving the Energy Efficiency of WSNs for Abnormal Events’ Monitoring
por: Huang, Yilin, et al.
Publicado: (2022)

Low-Complexity Rate-Distortion Optimization of Sampling Rate and Bit-Depth for Compressed Sensing of Images
por: Chen, Qunlin, et al.
Publicado: (2020)

Cannot write session to /tmp/vufind_sessions/sess_s5u8qqjq2qhhr2beoaujin1ev8