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TIT
2010
100views Education» more  TIT 2010»
13 years 2 months ago
Theoretical and empirical results for recovery from multiple measurements
The joint-sparse recovery problem aims to recover, from sets of compressed measurements, unknown sparse matrices with nonzero entries restricted to a subset of rows. This is an ex...
Ewout van den Berg, Michael P. Friedlander
HICSS
2006
IEEE
101views Biometrics» more  HICSS 2006»
14 years 1 months ago
A Theoretical Model and Empirical Results Linking Website Interactivity and Usability Satisfaction
Usability is a key component of websites that are commercially successful. Interactivity has been inconclusively linked to website usability. This study strengthens the theoretica...
Paul Benjamin Lowry, Trent J. Spaulding, Taylor We...
ICASSP
2011
IEEE
12 years 11 months ago
Low-rank matrix completion by variational sparse Bayesian learning
There has been a significant interest in the recovery of low-rank matrices from an incomplete of measurements, due to both theoretical and practical developments demonstrating th...
S. Derin Babacan, Martin Luessi, Rafael Molina, Ag...
ICIP
2009
IEEE
14 years 8 months ago
On The Empirical Rate-distortion Performance Of Compressive Sensing
Compressive Sensing (CS) is a new paradigm in signal acquisition and compression. In compressive sensing, a compressible signal is acquired using much less measurements than the o...
TIP
2008
141views more  TIP 2008»
13 years 7 months ago
Spatio-Spectral Color Filter Array Design for Optimal Image Recovery
Abstract--In digital imaging applications, data are typically obtained via a spatial subsampling procedure implemented as a color filter array--a physical construction whereby only...
Keigo Hirakawa, Patrick J. Wolfe