25 search results - page 3 / 5 » Noncoherent compressive sensing with application to distribu... |
TSP
2010
13 years 14 days ago
2010
We study the distributed sampling and centralized reconstruction of two correlated signals, modeled as the input and output of an unknown sparse filtering operation. This is akin ...
IPSN
2003
Springer
13 years 11 months ago
2003
Springer
High-level query languages are an attractive interface for sensor networks, potentially relieving application programmers from the burdens of distributed, embedded programming. In ...
ICASSP
2008
IEEE
14 years 7 days ago
2008
IEEE
The theory of compressed sensing shows that samples in the form of random projections are optimal for recovering sparse signals in high-dimensional spaces (i.e., finding needles ...
CDC
2010
IEEE
13 years 24 days ago
2010
IEEE
In this paper, we derive concentration of measure inequalities for compressive Toeplitz matrices (having fewer rows than columns) with entries drawn from an independent and identic...
ICPP
2007
IEEE
14 years 3 days ago
2007
IEEE
Ever-increasing memory footprint of applications and increasing mainstream popularity of shared memory parallel computing motivate us to explore memory compression potential in di...