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» On the Error Parameter of Dispersers
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QUESTA
2008
89views more  QUESTA 2008»
15 years 5 months ago
The asymptotic variance rate of the output process of finite capacity birth-death queues
We analyze the output process of finite capacity birth-death Markovian queues. We develop a formula for the asymptotic variance rate of the form + vi where is the rate of outputs...
Yoni Nazarathy, Gideon Weiss
AR
2010
101views more  AR 2010»
15 years 5 months ago
Novel Energy Transfer Mechanism in a Running Quadruped Robot with One Actuator per Leg
In this work we develop a novel method, or mechanism, of energy transfer in a quadruped running robot. The robot possesses only one actuator per leg, for lower weight and greater ...
Nicholas Cherouvim, Evangelos Papadopoulos
IEICET
2007
94views more  IEICET 2007»
15 years 6 months ago
A New Meta-Criterion for Regularized Subspace Information Criterion
In order to obtain better generalization performance in supervised learning, model parameters should be determined appropriately, i.e., they should be determined so that the gener...
Yasushi Hidaka, Masashi Sugiyama
ICC
2007
IEEE
120views Communications» more  ICC 2007»
16 years 19 days ago
Turbo Equalization for Clipped and Filtered COFDM Signals
— Clipping and filtering is an attractive method for the reduction of the PAPR of OFDM signals before transmission. However, the resulting in-band distortion noise impacts the e...
Peter Zillmann, Wolfgang Rave, Gerhard Fettweis
AUTOMATICA
2005
116views more  AUTOMATICA 2005»
15 years 6 months ago
Monotonically convergent iterative learning control for linear discrete-time systems
In iterative learning control schemes for linear discrete time systems, conditions to guarantee the monotonic convergence of the tracking9 error norms are derived. By using the Ma...
Kevin L. Moore, Yangquan Chen, Vikas Bahl