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» Compressed Sensing of Analog Signals
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CORR
2010
Springer
116views Education» more  CORR 2010»
13 years 10 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
TSP
2010
13 years 4 months ago
Distributed sampling of signals linked by sparse filtering: theory and applications
We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin ...
Ali Hormati, Olivier Roy, Yue M. Lu, Martin Vetter...
ICES
1998
Springer
108views Hardware» more  ICES 1998»
14 years 2 months ago
Evolvable Hardware for Space Applications
This paper focuses on characteristics and applications of evolvable hardware (EHW) to space systems. The motivation for looking at EHW originates in the need for more autonomous ad...
Adrian Stoica, Alex S. Fukunaga, Ken Hayworth, Car...
ICIP
2010
IEEE
13 years 7 months ago
Gradient projection for linearly constrained convex optimization in sparse signal recovery
The 2- 1 compressed sensing minimization problem can be solved efficiently by gradient projection. In imaging applications, the signal of interest corresponds to nonnegative pixel...
Zachary T. Harmany, Daniel Thompson, Rebecca Wille...
CORR
2010
Springer
121views Education» more  CORR 2010»
13 years 7 months ago
Universal Rate-Efficient Scalar Quantization
Scalar quantization is the most practical and straightforward approach to signal quantization. However, it has been shown that scalar quantization of oversampled or Compressively ...
Petros Boufounos