Suchergebnisse - "verification-based recovery algorithms"

Analysis and design of irregular graphs for node-based verification-based recovery algorithms in compressed sensing

Autoren: Ioannis Lambadaris Amir H. Banihashemi Yaser Eftekhari

Quelle: 2012 IEEE International Symposium on Information Theory Proceedings. :1872-1876

Schlagwörter: FOS: Computer and information sciences, Computer Science - Information Theory, Information Theory (cs.IT), 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Zugangs-URL: http://arxiv.org/pdf/1204.5136
http://arxiv.org/abs/1204.5136
http://ieeexplore.ieee.org/document/6281807/
https://dblp.uni-trier.de/db/journals/corr/corr1204.html#abs-1204-5136
https://arxiv.org/abs/1204.5136
https://ieeexplore.ieee.org/document/6281807/
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000006281807

Analysis and Design of Irregular Graphs for Node-Based Verification-Based Recovery Algorithms in Compressed Sensing

Autoren: Eftekhari, Yaser Banihashemi, Amir H. Lambadaris, Ioannis

Index Begriffe: Computer Science - Information Theory, text

URL: http://arxiv.org/abs/1204.5136

Node-based verification-based recovery algorithms in compressed sensing : asymptotic analysis and design of irregular sensing matrices (graphs)

Autoren: Yaser Eftekhari Roozbehani

Zugangs-URL: https://curve.carleton.ca/system/files/etd/cf768471-6806-4d08-8c2f-46a8fc6dbc1a/etd_pdf/d83a34f2ff94b2d30cb4427c2fccda5e/eftekhariroozbehani-nodebasedverificationbasedrecoveryalgorithms.pdf

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

Autoren: Eftekhari, Y. (Yaser) Heidarzadeh, A. (Anoosheh) Banihashemi, A. (Amir) et al.

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

Schlagwörter: 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

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

Low-complexity detection of zero blocks in wideband spectrum sensing.

Autoren: Zeinalkhani, Zeinab Banihashemi, Amir H.

Quelle: 2015 IEEE Energy Conversion Congress & Exposition (ECCE); 2015, p2578-2582, 5p

List message passing algorithm for noiseless compressed sensing.

Autoren: Ramirez-Javega, Francisco Lamarca, Meritxell

Quelle: 2015 Asia-Pacific Signal & Information Processing Association Annual Summit & Conference (APSIPA); 1/1/2015, p1116-1120, 5p