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TIT
2008
141views more  TIT 2008»
13 years 5 months ago
Dimensionality Reduction for Distributed Estimation in the Infinite Dimensional Regime
Distributed estimation of an unknown signal is a common task in sensor networks. The scenario usually envisioned consists of several nodes, each making an observation correlated wi...
Olivier Roy, Martin Vetterli
TMC
2008
112views more  TMC 2008»
13 years 5 months ago
Throughput Analysis and Measurements in IEEE 802.11 WLANs with TCP and UDP Traffic Flows
There is a vast literature on the throughput analysis of the IEEE 802.11 media access control (MAC) protocol. However, very little has been done on investigating the interplay betw...
Raffaele Bruno, Marco Conti, Enrico Gregori
PE
2002
Springer
158views Optimization» more  PE 2002»
13 years 4 months ago
Comparison of inter-area rekeying algorithms for secure wireless group communications
Many emerging mobile wireless applications depend upon secure group communications, in which data is encrypted and the group's data encryption key is changed whenever a membe...
Chun Zhang, Brian DeCleene, James F. Kurose, Donal...
TSMC
1998
91views more  TSMC 1998»
13 years 4 months ago
Toward the border between neural and Markovian paradigms
— A new tendency in the design of modern signal processing methods is the creation of hybrid algorithms. This paper gives an overview of different signal processing algorithms si...
Piotr Wilinski, Basel Solaiman, A. Hillion, W. Cza...
NECO
2007
150views more  NECO 2007»
13 years 4 months ago
Reinforcement Learning, Spike-Time-Dependent Plasticity, and the BCM Rule
Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Dorit Baras, Ron Meir