Binary graphs and message passing strategies for compressed sensing in the noiseless setting
View/Open
Binary Graphs and Message Passing Strategies for Compressed Sensing in the Noiseless Setting (111,0Kb) (Restricted access)
Request copy
Què és aquest botó?
Aquest botó permet demanar una còpia d'un document restringit a l'autor. Es mostra quan:
- Disposem del correu electrònic de l'autor
- El document té una mida inferior a 20 Mb
- Es tracta d'un document d'accés restringit per decisió de l'autor o d'un document d'accés restringit per política de l'editorial
Cita com:
hdl:2117/18420
Document typeConference report
Defense date2012
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Rights accessRestricted access - publisher's policy
Abstract
We propose a scheme for Compressed Sensing in the noiseless setting that reconstructs the original signal operating on a binary graph where the samples are obtained sequentially. The proposed scheme has an affordable computational complexity and a large performance enhancement with respect to similar schemes in the literature, thanks to the proposed measurement matrix structure and enhanced decoding based on a message passing algorithm.
CitationRamirez, F.; Lamarca, M.; Villares, N. Binary graphs and message passing strategies for compressed sensing in the noiseless setting. A: IEEE International Symposium on Information Theory. "2012 IEEE International Symposium on Information Theory Proceedings: took place July 1-6, 2012, in Cambridge, Massachusetts, USA". Cambridge, Massachusetts: Institute of Electrical and Electronics Engineers (IEEE), 2012, p. 1867-1871.
ISBN978-1-4673-2579-0
Files | Description | Size | Format | View |
---|---|---|---|---|
06283604.pdf![]() | Binary Graphs and Message Passing Strategies for Compressed Sensing in the Noiseless Setting | 111,0Kb | Restricted access |
All rights reserved. This work is protected by the corresponding intellectual and industrial
property rights. Without prejudice to any existing legal exemptions, reproduction, distribution, public
communication or transformation of this work are prohibited without permission of the copyright holder