The final publication is available at http://link.springer.com/chapter/10.1007%2F978-3-642-15995-4_57ESPRC Leadership Fellowship EP/G007144/1EPSRC Platform Grant EP/045235/1EU FET-Open Project FP7-ICT-225913\"SMALL

D. Malioutov

E.J. Candes

H. Krim

R. Gribonval

S.G. Mallat

S.S. Chen

Y.C. Eldar

CiteSeerX

Crossref

University of Surrey

Queen Mary Research Online

Surrey Research Insight

English

A sparse signal reconstruction perspective for source localization with sensor arrays, Signal Processing,

An introduction to compressive sampling,

Atomic decomposition by basis pursuit,

Atoms of all channels, unite! Average case analysis of multi-channel sparse recovery using greedy algorithms,

Average case analysis of multichannel sparse recovery using convex relaxation, Information Theory,

Dis- tributed compressed sensing of jointly sparse signals,

Image denoising via learned dictionaries and sparse representation, in Computer Vision and Pattern Recognition,

Matching pursuits with time-frequency dictio- naries, Signal Processing,

Near-optimal signal recovery from random pro jections: Universal encoding strategies?, Information Theory,

Simultaneous sparse approximation via greedy pursuit,

Spatial compressive sensing approach for eld directionality estimation.,

Two decades of array signal processing research: the parametric approach,

A Multichannel Spatial Compressed Sensing Approach for Direction of Arrival Estimation