1391 search results - page 224 / 279 » Optimally Sparse Frames |
CORR
2010
Springer
14 years 12 months ago
2010
Springer
A new framework of compressive sensing (CS), namely statistical compressive sensing (SCS), that aims at efficiently sampling a collection of signals that follow a statistical dist...
CORR
2008
Springer
14 years 12 months ago
2008
Springer
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...
110
Voted
CORR
2007
Springer
14 years 12 months ago
2007
Springer
This paper derives a near optimal distributed Kalman filter to estimate a large-scale random field monitored by a network of N sensors. The field is described by a sparsely con...
126
click to vote
JSAC
2008
14 years 11 months ago
2008
We consider the downlink of a wireless system with an M-antenna base station and K single-antenna users. A limited feedback-based scheduling and precoding scenario is considered th...
116
click to vote
JMLR
2006
14 years 11 months ago
2006
We present Variable Influence Structure Analysis, or VISA, an algorithm that performs hierarchical decomposition of factored Markov decision processes. VISA uses a dynamic Bayesia...