255 search results - page 15 / 51 » Sampling Sparse Signals on the Sphere: Algorithms and Applic... |
121
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
This paper presents a simple randomised algorithm for recovering high-dimensional sparse functions, i.e. functions f : [0, 1]d → R which depend effectively only on k out of d va...
102
Voted
ICASSP
2008
IEEE
15 years 10 months ago
2008
IEEE
Compressive Sensing (CS) is an emerging area which uses a relatively small number of non-traditional samples in the form of randomized projections to reconstruct sparse or compres...
124
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
We propose an algorithm (SCS-FRI) to estimate multipath channels with Sparse Common Support (SCS) based on Finite Rate of Innovation (FRI) sampling. In this setup, theoretical low...
140
Voted
ICML
2009
IEEE
16 years 4 months ago
2009
IEEE
Sparse coding--that is, modelling data vectors as sparse linear combinations of basis elements--is widely used in machine learning, neuroscience, signal processing, and statistics...
140
Voted
CISS
2008
IEEE
15 years 10 months ago
2008
IEEE
—Beyond signal processing applications, frames are also powerful tools for modeling the sensing and information processing of many biological and man-made systems that exhibit in...