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ICASSP
2011
IEEE
14 years 5 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
14 years 11 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
16 years 2 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
15 years 2 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
16 years 3 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