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» Compressed Sensing of Analog Signals
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CORR
2011
Springer
203views Education» more  CORR 2011»
13 years 4 months 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,...
ICASSP
2011
IEEE
13 years 1 months ago
Generalized Restricted Isometry Property for alpha-stable random projections
The Restricted Isometry Property (RIP) is an important concept in compressed sensing. It is well known that many random matrices satisfy the RIP with high probability, whenever th...
Daniel Otero, Gonzalo R. Arce
CVPR
2012
IEEE
12 years 8 days ago
Compressive depth map acquisition using a single photon-counting detector: Parametric signal processing meets sparsity
Active range acquisition systems such as light detection and ranging (LIDAR) and time-of-flight (TOF) cameras achieve high depth resolution but suffer from poor spatial resolutio...
Andrea Colaco, Ahmed Kirmani, Gregory A. Howland, ...
ICASSP
2009
IEEE
14 years 4 months ago
Compressive sampling of pulse trains: Spread the spectrum!
In this paper we consider the problem of sampling far below the Nyquist rate signals that are sparse linear superpositions of shifts of a known, potentially wide-band, pulse. This...
Farid M. Naini, Rémi Gribonval, Laurent Jac...
CORR
2010
Springer
164views Education» more  CORR 2010»
13 years 10 months ago
Sub-Nyquist Sampling of Short Pulses: Part I
We develop sub-Nyquist sampling systems for analog signals comprised of several, possibly overlapping, finite duration pulses with unknown shapes and time positions. Efficient sam...
Ewa Matusiak, Yonina C. Eldar