147 search results - page 5 / 30 » Very sparse random projections |
FOCM
2008
13 years 7 months ago
2008
We investigate the problem of reconstructing sparse multivariate trigonometric polynomials from few randomly taken samples by Basis Pursuit and greedy algorithms such as Orthogona...
ICIP
2009
IEEE
13 years 5 months ago
2009
IEEE
In this paper we describe a robust watermarking scheme for image tampering identification and localization. A compact representation of the image is first produced by assembling a...
TWC
2008
13 years 7 months ago
2008
Abstract--Orthogonal random beamforming (ORB) constitutes a mean to exploit spatial multiplexing and multi-user diversity (MUD) gains in multi-antenna broadcast channels. To do so,...
IEEECGIV
2009
IEEE
14 years 2 months ago
2009
IEEE
The theory of compressive sampling involves making random linear projections of a signal. Provided signal is sparse in some basis, small number of such measurements preserves the ...
IROS
2009
IEEE
14 years 2 months ago
2009
IEEE
— Sampling-based motion planners are often used to solve very high-dimensional planning problems. Many recent algorithms use projections of the state space to estimate properties...