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CORR
2008
Springer
144views Education» more  CORR 2008»
8 years 6 months ago
Iterative Hard Thresholding for Compressed Sensing
Compressed sensing is a technique to sample compressible signals below the Nyquist rate, whilst still allowing near optimal reconstruction of the signal. In this paper we present ...
Thomas Blumensath, Mike E. Davies
CORR
2010
Springer
116views Education» more  CORR 2010»
8 years 6 months ago
Restricted Isometries for Partial Random Circulant Matrices
In the theory of compressed sensing, restricted isometry analysis has become a standard tool for studying how efficiently a measurement matrix acquires information about sparse an...
Holger Rauhut, Justin K. Romberg, Joel A. Tropp
CORR
2008
Springer
116views Education» more  CORR 2008»
8 years 6 months ago
High-Resolution Radar via Compressed Sensing
A stylized compressed sensing radar is proposed in which the time-frequency plane is discretized into an N
Matthew A. Herman, Thomas Strohmer
CORR
2010
Springer
108views Education» more  CORR 2010»
8 years 6 months ago
Compressed Sensing: How sharp is the Restricted Isometry Property
Compressed sensing is a recent technique by which signals can be measured at a rate proportional to their information content, combining the important task of compression directly ...
Jeffrey D. Blanchard, Coralia Cartis, Jared Tanner
CORR
2010
Springer
130views Education» more  CORR 2010»
8 years 6 months ago
Phase Transitions for Greedy Sparse Approximation Algorithms
A major enterprise in compressed sensing and sparse approximation is the design and analysis of computationally tractable algorithms for recovering sparse, exact or approximate, s...
Jeffrey D. Blanchard, Coralia Cartis, Jared Tanner...
CORR
2010
Springer
114views Education» more  CORR 2010»
8 years 6 months ago
Sequential Compressed Sensing
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of random measurements. Existing results in compressed sens...
Dmitry M. Malioutov, Sujay Sanghavi, Alan S. Wills...
CORR
2010
Springer
128views Education» more  CORR 2010»
8 years 6 months ago
Blind Compressed Sensing
The fundamental principle underlying compressed sensing is that a signal, which is sparse under some basis representation, can be recovered from a small number of linear measuremen...
Sivan Gleichman, Yonina C. Eldar
ICA
2010
Springer
8 years 7 months ago
A Multichannel Spatial Compressed Sensing Approach for Direction of Arrival Estimation
Abstract. In this work, we present a direction-of-arrival (DOA) estimation method for narrowband sources impinging from the far-field on a uniform linear array (ULA) of sensors, ba...
Aris Gretsistas, Mark D. Plumbley
CIMAGING
2009
192views Hardware» more  CIMAGING 2009»
8 years 7 months ago
Compressive coded aperture imaging
Nonlinear image reconstruction based upon sparse representations of images has recently received widespread attention with the emerging framework of compressed sensing (CS). This ...
Roummel F. Marcia, Zachary T. Harmany, Rebecca Wil...
GSN
2009
Springer
149views Sensor Networks» more  GSN 2009»
8 years 10 months ago
Spatially-Localized Compressed Sensing and Routing in Multi-hop Sensor Networks
We propose energy-efficient compressed sensing for wireless sensor networks using spatially-localized sparse projections. To keep the transmission cost for each measurement low, we...
Sungwon Lee, Sundeep Pattem, Maheswaran Sathiamoor...
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