66 search results - page 2 / 14 » A Bayesian analysis of Compressive Sensing data recovery in ... |
GLOBECOM
2010
IEEE
13 years 3 months ago
2010
IEEE
This paper considers a large-scale wireless sensor network where sensor readings are occasionally collected by a mobile sink, and sensor nodes are responsible for temporarily stori...
BSN
2011
IEEE
12 years 5 months ago
2011
IEEE
—Wireless neural recording systems are subject to stringent power consumption constraints to support long-term recordings and to allow for implantation inside the brain. In this ...
SUTC
2010
IEEE
13 years 3 months ago
2010
IEEE
—Compressed Sensing (CS) is a novel sampling paradigm that tries to take data-compression concepts down to the sampling layer of a sensory system. It states that discrete compres...
SUTC
2008
IEEE
13 years 11 months ago
2008
IEEE
With the availability of low-cost sensor nodes there have been many standards developed to integrate and network these nodes to form a reliable network allowing many different typ...
PERCOM
2007
ACM
14 years 4 months ago
2007
ACM
Macro programming a distributed system, such as a sensor network, is the ability to specify application tasks at a global level while relying on compiler-like software to translat...