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DCC
2006
IEEE
16 years 3 months ago
Distributed Sampling and Compression of Scenes with Finite Rate of Innovation in Camera Sensor Networks
We study the problem of distributed sampling and compression in sensor networks when the sensors are digital cameras that acquire a 3-D visual scene of interest from different vie...
Nicolas Gehrig, Pier Luigi Dragotti
126
Voted
ICCAD
2007
IEEE
107views Hardware» more  ICCAD 2007»
16 years 9 days ago
Computation of minimal counterexamples by using black box techniques and symbolic methods
— Computing counterexamples is a crucial task for error diagnosis and debugging of sequential systems. If an implementation does not fulfill its specification, counterexamples ...
Tobias Nopper, Christoph Scholl, Bernd Becker
BSN
2009
IEEE
118views Sensor Networks» more  BSN 2009»
15 years 10 months ago
Minimising Loss-Induced Errors in Real Time Wireless Sensing by Avoiding Data Dependency
Abstract—The use of local processing to reduce data transmission rates, and thereby power and bandwidth requirements, is common in wireless sensor networks. Achieving the minimum...
A. D. Young, M. J. Ling
CANDC
2009
ACM
15 years 10 months ago
Musicomputation: teaching computer science to teenage musicians
While algorithms have existed in math, music and other fields for over one thousand years, the use of algorithms to solve problems has become easier than ever before due to the a...
Adam L. Meyers, Marilyn C. Cole, Evan Korth, Sam P...
153
Voted
MOBICOM
2009
ACM
15 years 10 months ago
Impact of mobility on spectrum sensing in cognitive radio networks
In cognitive radio networks (CRNs), spectrum sensing is key to opportunistic spectrum access while preventing any unacceptable interference to primary users’ communications. Alt...
Alexander W. Min, Kang G. Shin