1391 search results - page 224 / 279 » Optimally Sparse Frames |
112
click to vote
CORR
2010
Springer
15 years 4 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...
127
click to vote
CORR
2008
Springer
15 years 4 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...
152
click to vote
CORR
2007
Springer
15 years 4 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...
172
click to vote
JSAC
2008
15 years 4 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...
154
click to vote
JMLR
2006
15 years 4 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...