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ICASSP
2011
IEEE
12 years 8 months ago
Sparsity-undersampling tradeoff of compressed sensing in the complex domain
In this paper, recently developed ONE-L1 algorithms for compressed sensing are applied to complex-valued signals and sampling matrices. The optimal and iterative solution of ONE-L...
Zai Yang, Cishen Zhang
ICIP
2010
IEEE
13 years 2 months ago
Compressed domain global motion estimation using the Helmholtz Tradeoff Estimator
Several algorithms for global motion estimation in video sequences using pixel- or block-based approaches have been published. Most known pixel-based methods lack in performance w...
Michael Tok, Alexander Glantz, Marina Georgia Arva...
ICIP
2009
IEEE
14 years 5 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...
EACL
1993
ACL Anthology
13 years 6 months ago
A Tradeoff between Compositionality and Complexity in the Semantics of Dimensional Adjectives
Linguistic access to uncertain quantitative knowledge about physical properties is provided by dimensional adjectives, e.g. long-short in the spatial and temporal senses, near-far...
Geoffrey Simmons
ICIP
2008
IEEE
14 years 6 months ago
Compressive image fusion
Compressive sensing (CS) has received a lot of interest due to its compression capability and lack of complexity on the sensor side. In this paper, we present a study of three sam...
Tao Wan, Cedric Nishan Canagarajah, Alin Achim