Sciweavers

255 search results - page 27 / 51
» Sampling Sparse Signals on the Sphere: Algorithms and Applic...
Sort
View
ICASSP
2010
IEEE
14 years 9 months ago
Texas Hold 'Em algorithms for distributed compressive sensing
This paper develops a new class of algorithms for signal recovery in the distributed compressive sensing (DCS) framework. DCS exploits both intra-signal and inter-signal correlati...
Stephen R. Schnelle, Jason N. Laska, Chinmay Hegde...
DCC
2005
IEEE
15 years 9 months ago
Progressive Low Bit Rate Coding of Simple 3D Objects with Matching Pursuit
This paper presents a low rate progressive 3D mesh compression scheme for simple genuszero 3D objects. The proposed scheme is based on signal representation using redundant expans...
Ivana Tosic, Pascal Frossard, Pierre Vandergheynst
ICASSP
2010
IEEE
14 years 9 months ago
Gradient Polytope Faces Pursuit for large scale sparse recovery problems
Polytope Faces Pursuit is a greedy algorithm that performs Basis Pursuit with similar order complexity to Orthogonal Matching Pursuit. The algorithm adds one basis vector at a tim...
Aris Gretsistas, Ivan Damnjanovic, Mark D. Plumble...
69
Voted
CORR
2008
Springer
178views Education» more  CORR 2008»
14 years 9 months ago
Model-Based Compressive Sensing
Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquisition of sparse or compressible signals that can be well approximated by just K N elements from a...
Richard G. Baraniuk, Volkan Cevher, Marco F. Duart...
ICIP
2007
IEEE
15 years 1 months ago
Finding Optimal Integral Sampling Lattices for a given Frequency Support in Multidimensions
The search for alias-free sampling lattices for a given frequency support, in particular those lattices achieving minimum sampling densities, is a fundamental issue in various app...
Yue M. Lu, Minh N. Do