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ICASSP
2010
IEEE
14 years 10 months ago
Reconstruction of sparse signals from distorted randomized measurements
In this paper we show that, surprisingly, it is possible to recover sparse signals from nonlinearly distorted measurements, even if the nonlinearity is unknown. Assuming just that...
Petros Boufounos
ICASSP
2008
IEEE
15 years 4 months ago
Compressive coded aperture superresolution image reconstruction
Recent work in the emerging field of compressive sensing indicates that, when feasible, judicious selection of the type of distortion induced by measurement systems may dramatica...
Roummel F. Marcia, Rebecca Willett
TSP
2008
124views more  TSP 2008»
14 years 9 months ago
Dictionary Preconditioning for Greedy Algorithms
This article introduces the concept of sensing dictionaries. It presents an alteration of greedy algorithms like thresholding or (Orthogonal) Matching Pursuit which improves their...
Karin Schnass, Pierre Vandergheynst
EWSN
2010
Springer
15 years 4 months ago
Energy-Aware Sparse Approximation Technique (EAST) for Rechargeable Wireless Sensor Networks
Due to non-homogeneous spread of sunlight, sensing nodes typically have non-uniform energy profiles in rechargeable Wireless Sensor Networks (WSNs). An energy-aware work load dist...
Rajib Kumar Rana, Wen Hu, Chun Tung Chou
CVPR
2008
IEEE
15 years 11 months ago
Image super-resolution as sparse representation of raw image patches
This paper addresses the problem of generating a superresolution (SR) image from a single low-resolution input image. We approach this problem from the perspective of compressed s...
Jianchao Yang, John Wright, Thomas S. Huang, Yi Ma