74 search results - page 11 / 15 » Compressed sensing with sequential observations |
TSP
2010
13 years 2 months ago
2010
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
CORR
2007
Springer
13 years 7 months ago
2007
Springer
The problem of recovering the sparsity pattern of a fixed but unknown vector β∗ ∈ Rp based on a set of n noisy observations arises in a variety of settings, including subset...
CC
2010
Springer
14 years 2 months ago
2010
Springer
The problem of locally transforming or translating programs without altering their semantics is central to the construction of correct compilers. For concurrent shared-memory progr...
TLCA
2005
Springer
14 years 1 months ago
2005
Springer
We use a fully abstract denotational model to show that nested function calls and recursive definitions can be eliminated from SPCF (a typed functional language with simple non-lo...
CORR
2008
Springer
13 years 8 months ago
2008
Springer
This work considers the problem of quickest detection with N distributed sensors that receive sequential observations either in discrete or in continuous time from the environment....