Large-System Estimation Performance in Noisy Compressed Sensing With Random Support of Known Cardinality: A Bayesian Analysis

Rémy Boyer, Romain Couillet, Bernard Henri Fleury, Pascal Larzabal

Research output: Contribution to journal › Journal article › Research › peer-review

Original language	English
Journal	I E E E Transactions on Signal Processing
Volume	64
Issue number	21
Pages (from-to)	5525-5535
ISSN	1053-587X
DOIs	https://doi.org/10.1109/TSP.2016.2591511
Publication status	Published - 2016

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title = "Large-System Estimation Performance in Noisy Compressed Sensing With Random Support of Known Cardinality: A Bayesian Analysis",

author = "R{\'e}my Boyer and Romain Couillet and Fleury, {Bernard Henri} and Pascal Larzabal",

year = "2016",

doi = "10.1109/TSP.2016.2591511",

language = "English",

volume = "64",

pages = "5525--5535",

journal = "I E E E Transactions on Signal Processing",

issn = "1053-587X",

publisher = "IEEE",

number = "21",

}

TY - JOUR

T1 - Large-System Estimation Performance in Noisy Compressed Sensing With Random Support of Known Cardinality

T2 - A Bayesian Analysis

AU - Boyer, Rémy

AU - Couillet, Romain

AU - Fleury, Bernard Henri

AU - Larzabal, Pascal

PY - 2016

Y1 - 2016

U2 - 10.1109/TSP.2016.2591511

DO - 10.1109/TSP.2016.2591511

M3 - Journal article

SN - 1053-587X

VL - 64

SP - 5525

EP - 5535

JO - I E E E Transactions on Signal Processing

JF - I E E E Transactions on Signal Processing

IS - 21

ER -