Výsledky vyhledávání - "iterative recovery algorithms"

Iteratively reweighted two-stage LASSO for block-sparse signal recovery under finite-alphabet constraints

Autoři: Malek Messai Abdeldjalil Aïssa-El-Bey Karine Amis a další

Přispěvatelé: Malek Messai Abdeldjalil Aïssa-El-Bey Karine Amis a další

Zdroj: Signal Processing. 157:73-77

Témata: Block-sparsity recovery, Finite-alphabet, l1-minimization, Iterative recovery algorithms, 0202 electrical engineering, electronic engineering, information engineering, LASSO, 02 engineering and technology, Iterative reweighting, [SPI.SIGNAL]Engineering Sciences [physics]/Signal and Image processing

Přístupová URL adresa: https://hal.archives-ouvertes.fr/hal-01933349/file/letter_singlecolumn_final.pdf
https://www.sciencedirect.com/science/article/pii/S0165168418303670
https://doi.org/10.1016/j.sigpro.2018.11.007
https://dblp.uni-trier.de/db/journals/sigpro/sigpro157.html#MessaiAAG19
https://hal.archives-ouvertes.fr/hal-01933349

Iterative signal recovery in complex-valued distributed compressed sensing

Autoři: Sterk, Elena Fischer, Robert Görtz, Norbert

Přispěvatelé: Sterk, Elena Fischer, Robert Görtz, Norbert

Témata: Distributed compressed sensing, Iterative recovery algorithms, Signal processing, Digital techniques, Algorithms, Compressed sensing (Telecommunication), Signalverarbeitung, Digitale Signalverarbeitung, Datenkompression

Popis souboru: application/pdf

Dostupnost: https://doi.org/10.18725/OPARU-58352
http://nbn-resolving.de/urn:nbn:de:bsz:289-oparu-58427-4

Iterative reweighted ℓ 2 /ℓ 1 recovery algorithms for compressed sensing of block sparse signals

Autoři: Zeinalkhani, Z. (Zeinab) Banihashemi, A. (Amir)

Zdroj: IEEE Transactions on Signal Processing vol. 63 no. 17, pp. 4516-4531

Témata: Block sparsity, compressed sensing, iterative recovery algorithms, iterative reweighted ℓ 2 /ℓ 1 minimization, ℓ 2 /ℓ 1 minimization

Relation: https://ir.library.carleton.ca/pub/23002

Dostupnost: https://ir.library.carleton.ca/pub/23002
https://doi.org/10.1109/TSP.2015.2441032

Density evolution analysis of node-based verification-based algorithms in compressed sensing

Autoři: Eftekhari, Y. (Yaser) Heidarzadeh, A. (Anoosheh) Banihashemi, A. (Amir) a další

Zdroj: IEEE Transactions on Information Theory vol. 58 no. 10, pp. 6616-6645

Témata: Asymptotic analysis, channel coding, compressed sensing, density evolution, iterative decoding algorithms, iterative recovery algorithms, low-complexity compressed sensing, low-density parity-check (LDPC) codes, message-passing algorithms, sparse graphs, sparse sensing matrix, success threshold, verification-based recovery algorithms

Relation: https://ir.library.carleton.ca/pub/6336

Dostupnost: https://ir.library.carleton.ca/pub/6336
https://doi.org/10.1109/TIT.2012.2206368