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» On Using Channel Prediction in Adaptive Beamforming Systems
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IJCNN
2007
IEEE
15 years 10 months ago
System Identification for the Hodgkin-Huxley Model using Artificial Neural Networks
— A single biological neuron is able to perform complex computations that are highly nonlinear in nature, adaptive, and superior to the perceptron model. A neuron is essentially ...
Manish Saggar, Tekin Meriçli, Sari Andoni, ...
ICWN
2007
15 years 5 months ago
Dynamic Optimal Fragmentation with Rate Adaptation for Goodput Enhancement in WLANs
—To meet the demand for broadband wireless communication, wireless systems should work well in typical wireless environments, characterized by the path loss of the signals, multi...
Yusun Chang, Christopher P. Lee, Bongkyoung Kwon, ...
ICC
2008
IEEE
146views Communications» more  ICC 2008»
15 years 10 months ago
APOS: Adaptive Parameters Optimization Scheme for Voice over IEEE 802.11g
—In this paper we present APOS, a method for dynamically adapting the parameters of IEEE 802.11g to the estimated system state, with the aim of enhancing the quality of a voice c...
Nicola Baldo, Federico Maguolo, Simone Merlin, And...
IJCNN
2008
IEEE
15 years 10 months ago
Adaptive curiosity for emotions detection in speech
— Exploratory activities seem to be crucial for our cognitive development. According to psychologists, exploration is an intrinsically rewarding behaviour. The developmental robo...
Alexis Bondu, Vincent Lemaire
ICCAD
2006
IEEE
177views Hardware» more  ICCAD 2006»
16 years 28 days ago
Fast and accurate transaction level models using result oriented modeling
Efficient communication modeling is a critical task in SoC design and exploration. In particular, fast and accurate communication is needed to predict the performance of a system....
Gunar Schirner, Rainer Dömer