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CISS
2008
IEEE
13 years 11 months ago
1-Bit compressive sensing
Abstract—Compressive sensing is a new signal acquisition technology with the potential to reduce the number of measurements required to acquire signals that are sparse or compres...
Petros Boufounos, Richard G. Baraniuk
CORR
2012
Springer
218views Education» more  CORR 2012»
12 years 22 days ago
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an accurate estim...
Yaniv Plan, Roman Vershynin
CORR
2011
Springer
203views Education» more  CORR 2011»
13 years 21 hour ago
Robust 1-Bit Compressive Sensing via Binary Stable Embeddings of Sparse Vectors
The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...
Laurent Jacques, Jason N. Laska, Petros Boufounos,...
CORR
2007
Springer
151views Education» more  CORR 2007»
13 years 5 months ago
Distributed spatial multiplexing with 1-bit feedback
— We analyze the feasibility of distributed spatial multiplexing with limited feedback in a slow-fading interference network with MN non-cooperating single-antenna sources and M ...
J. Thukral, Helmut Bölcskei
IPSN
2009
Springer
13 years 11 months ago
Near-optimal Bayesian localization via incoherence and sparsity
This paper exploits recent developments in sparse approximation and compressive sensing to efficiently perform localization in a sensor network. We introduce a Bayesian framework...
Volkan Cevher, Petros Boufounos, Richard G. Barani...