354 search results - page 2 / 71 » Estimating random variables from random sparse observations |
DCC
2008
IEEE
14 years 5 months ago
2008
IEEE
A system of algebraic equations over a finite field is called sparse if each equation depends on a small number of variables. Finding efficiently solutions to the system is an unde...
CORR
2007
Springer
13 years 5 months ago
2007
Springer
— The problem of statistical learning is to construct a predictor of a random variable Y as a function of a related random variable X on the basis of an i.i.d. training sample fr...
TSP
2010
13 years 14 days ago
2010
The problem of jointly detecting multiple objects and estimating their states from image observations is formulated in a Bayesian framework by modeling the collection of states as ...
ICASSP
2008
IEEE
14 years 7 days ago
2008
IEEE
Compressed sensing allows perfect recovery of sparse signals (or signals sparse in some basis) using only a small number of measurements. The results in the literature have focuse...
CDC
2010
IEEE
13 years 24 days ago
2010
IEEE
In this paper, we collect and discuss some of the recent theoretical results on channel identification using a random probe sequence. These results are part of the body of work kno...