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DAGSTUHL
2008
15 years 8 months ago
Distributed Bounded-Error Parameter and State Estimation in Networks of Sensors
This paper presents distributed bounded-error parameter and state estimation algorithms suited to measurement processing by a network of sensors. Contrary to centralized estimation...
Michel Kieffer
CDC
2009
IEEE
191views Control Systems» more  CDC 2009»
15 years 11 months ago
Convergence and stability of a distributed CSMA algorithm for maximal network throughput
—Designing efficient scheduling algorithms is an important problem in a general class of networks with resourcesharing constraints, such as wireless networks and stochastic proc...
Libin Jiang, Jean C. Walrand
ICANN
1997
Springer
15 years 10 months ago
A Novelty Detector Using a Network of Integrate and Fire Neurons
Information in the nervous system has often been considered as being represented by simultaneous discharge of a large set of neurons. We propose a learning mechanism for neural inf...
Tuong Vinh Ho, Jean Rouat
CIS
2008
Springer
15 years 8 months ago
Discrete Fourier Transform Computation Using Neural Networks
In this paper, a method is introduced how to process the Discrete Fourier Transform (DFT) by a singlelayer neural network with a linear transfer function. By implementing the sugg...
Rosemarie Velik
APPINF
2003
15 years 8 months ago
Preventing Computational Chaos in Asynchronous Neural Networks
One of the primary advantages of artificial neural networks is their inherent ability to perform massively parallel, nonlinear signal processing. However, the asynchronous dynamics...
Jacob Barhen, Vladimir Protopopescu