44 search results - page 4 / 9 » Variance-component based sparse signal reconstruction and mo... |
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
This paper introduces a new algorithm for reconstructing signals with sparse spectrums from noisy compressive measurements. The proposed model-based algorithm takes the signal str...
CORR
2011
Springer
13 years 1 months ago
2011
Springer
A novel framework of compressed sensing, namely statistical compressed sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical distribu...
ICASSP
2011
IEEE
12 years 9 months ago
2011
IEEE
Solving linear regression problems based on the total least-squares (TLS) criterion has well-documented merits in various applications, where perturbations appear both in the data...
ICIP
2008
IEEE
14 years 21 days ago
2008
IEEE
In this work, we propose the use of sparse signal representation techniques to solve the problem of closed-loop spatial image prediction. The reconstruction of signal in the block...
ICML
2009
IEEE
14 years 7 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...