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» Multiresolution compression and reconstruction
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TSP
2010
13 years 2 months ago
LS-CS-residual (LS-CS): compressive sensing on least squares residual
We consider the problem of recursively and causally reconstructing time sequences of sparse signals (with unknown and time-varying sparsity patterns) from a limited number of noisy...
Namrata Vaswani
ICASSP
2011
IEEE
12 years 11 months ago
Combined compressed sensing and parallel mri compared for uniform and random cartesian undersampling of K-space
Both compressed sensing (CS) and parallel imaging effectively reconstruct magnetic resonance images from undersampled data. Combining both methods enables imaging with greater und...
Daniel S. Weller, Jonathan R. Polimeni, Leo Grady,...
ICASSP
2011
IEEE
12 years 11 months ago
Compressive sensing in through-the-wall radar imaging
High resolution through-the-wall radar imaging (TTWRI) demands wideband signals and large array apertures. Thus a vast amount of measurements is needed for a detailed reconstructi...
Michael Leigsnering, Christian Debes, Abdelhak M. ...
ISCAS
2008
IEEE
84views Hardware» more  ISCAS 2008»
14 years 1 months ago
Pulse-based signal compression for implanted neural recording systems
— Today’s implanted neural systems are bound by tight constraints on power and communication bandwidth. Most conventional ADC-based approaches fall into two categories. Either ...
John G. Harris, Jose C. Principe, Justin C. Sanche...
PG
1997
IEEE
13 years 11 months ago
Rendering of spherical light fields
A plenoptic function is a parameterized function describing the flow of light in space, and has served as a key idea in building some of the recent image-based rendering systems....
Insung Ihm, Sanghoon Park, Rae Kyoung Lee