Остановите войну!
for scientists:
default search action
Search dblp
Full-text search
- > Home
Please enter a search query
- case-insensitive prefix search: default
e.g., sig matches "SIGIR" as well as "signal" - exact word search: append dollar sign ($) to word
e.g., graph$ matches "graph", but not "graphics" - boolean and: separate words by space
e.g., codd model - boolean or: connect words by pipe symbol (|)
e.g., graph|network
Update May 7, 2017: Please note that we had to disable the phrase search operator (.) and the boolean not operator (-) due to technical problems. For the time being, phrase search queries will yield regular prefix search result, and search terms preceded by a minus will be interpreted as regular (positive) search terms.
Author search results
no matches
Venue search results
no matches
Refine list
refine by author
- no options
- temporarily not available
refine by venue
- no options
- temporarily not available
refine by type
- no options
- temporarily not available
refine by access
- no options
- temporarily not available
refine by year
- no options
- temporarily not available
Publication search results
found 21 matches
- 2023
- Fan Jiang, Zhongming Wu:
An inexact symmetric ADMM algorithm with indefinite proximal term for sparse signal recovery and image restoration problems. J. Comput. Appl. Math. 417: 114628 (2023) - Zhengwei Shen, Qian Chen, Fan Yang:
A convex relaxation framework consisting of a primal-dual alternative algorithm for solving ℓ0 sparsity-induced optimization problems with application to signal recovery based image restoration. J. Comput. Appl. Math. 421: 114878 (2023) - Xiaoyu Wu, Hu Shao, Pengjie Liu, Yan Zhang, Yue Zhuo:
An efficient conjugate gradient-based algorithm for unconstrained optimization and its projection extension to large-scale constrained nonlinear equations with applications in signal recovery and image denoising problems. J. Comput. Appl. Math. 422: 114879 (2023) - Yanyun Ding, Haibin Zhang, Peili Li, Yunhai Xiao:
An efficient semismooth Newton method for adaptive sparse signal recovery problems. Optim. Methods Softw. 38(2): 262-288 (2023) - Muhammad Abdullahi, Auwal Bala Abubakar, Sadiq Bashir Salihu:
Global convergence via modified self-adaptive approach for solving constrained monotone nonlinear equations with application to signal recovery problems. RAIRO Oper. Res. 57(5): 2561-2584 (2023) - Mohammad Saeid Alamdari, Masoud Fatemi, Aboozar Ghaffari:
A modified sequential quadratic programming method for sparse signal recovery problems. Signal Process. 207: 108955 (2023) - Anchalee Khemphet, Raweerote Suparatulatorn, Pariwate Varnakovida, Phakdi Charoensawan:
A Modified Parallel Algorithm for a Common Fixed-Point Problem with Application to Signal Recovery. Symmetry 15(7): 1464 (2023) - 2022
- Zohre Aminifard, Alireza Hosseini, Saman Babaie-Kafaki:
Modified conjugate gradient method for solving sparse recovery problem with nonconvex penalty. Signal Process. 193: 108424 (2022) - 2021
- Elad Romanov:
Selected Problems in Signal Estimation and Recovery : By Elad Romanov. (כותר נוסף בעברית: בעיות נבחרות בשערוך אותות). Hebrew University of Jerusalem, Israel, 2021 - 2020
- Fujun Zhao, Jigen Peng, Angang Cui:
Design strategy of thresholding operator for low-rank matrix recovery problem. Signal Process. 171: 107510 (2020) - Junzheng Jiang, David B. H. Tay, Qiyu Sun, Shan Ouyang:
Recovery of Time-Varying Graph Signals via Distributed Algorithms on Regularized Problems. IEEE Trans. Signal Inf. Process. over Networks 6: 540-555 (2020) - 2019
- Bin Wang, Li Wang, Hao Yu, Fengming Xin:
A New Regularized Reconstruction Algorithm Based on Compressed Sensing for the Sparse Underdetermined Problem and Applications of One-Dimensional and Two-Dimensional Signal Recovery. Algorithms 12(7): 126 (2019) - 2017
- Neelakandan Rajamohan, Amrutraj Joshi, Arun Pachai Kannu:
Joint Block Sparse Signal Recovery Problem and Applications in LTE Cell Search. IEEE Trans. Veh. Technol. 66(2): 1130-1143 (2017) - 2016
- Theofanis Apostolopoulos:
Heuristics for computing sparse solutions for ill-posed inverse problems in signal and image recovery. King's College London, UK, 2016 - 2013
- Laura Bacchelli Montefusco, Damiana Lazzaro, Serena Papi:
A fast algorithm for nonconvex approaches to sparse recovery problems. Signal Process. 93(9): 2636-2647 (2013) - Nazim Burak Karahanoglu, Hakan Erdogan:
Optimal forward-backward pursuit for the sparse signal recovery problem. SIU 2013: 1-4 - 2011
- Stephen Becker, Emmanuel J. Candès, Michael C. Grant:
Templates for convex cone problems with applications to sparse signal recovery. Math. Program. Comput. 3(3): 165-218 (2011) - Zhilin Zhang, Bhaskar D. Rao:
Exploiting Correlation in Sparse Signal Recovery Problems: Multiple Measurement Vectors, Block Sparsity, and Time-Varying Sparsity. CoRR abs/1105.0725 (2011) - 2010
- Amir Beck, Marc Teboulle:
Gradient-based algorithms with applications to signal-recovery problems. Convex Optimization in Signal Processing and Communications 2010: 42-88 - 1997
- George Roumeliotis:
Local smoothness maps: a new method for solving inverse problems with the accurate recovery of sharp gradients. IEEE Trans. Signal Process. 45(8): 2109-2115 (1997) - 1985
- M. Ibrahim Sezan, Henry Stark:
Incorporation of a priori moment constraints into signal recovery and synthesis problems via the method of convex projections. ICASSP 1985: 1061-1064
loading more results
failed to load more results, please try again later
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from , , and to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from .
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
retrieved on 2024-04-24 11:09 CEST from data curated by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint