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CORR
2010
Springer
122views Education» more  CORR 2010»
14 years 8 months ago
Concavity of Mutual Information Rate for Input-Restricted Finite-State Memoryless Channels at High SNR
We consider a finite-state memoryless channel with i.i.d. channel state and the input Markov process supported on a mixing finite-type constraint. We discuss the asymptotic behavio...
Guangyue Han, Brian H. Marcus
IWCMC
2009
ACM
15 years 8 months ago
Quantized transmit beamforming with antenna selection in a MIMO channel
For a point-to-point multi-input multi-output (MIMO) wireless channel, we propose a feedback scheme, which consists of transmit-antenna selection algorithm and beamforming quantiz...
Wiroonsak Santipach
TNN
2008
128views more  TNN 2008»
15 years 1 months ago
Nonnegative Matrix Factorization in Polynomial Feature Space
Abstract--Plenty of methods have been proposed in order to discover latent variables (features) in data sets. Such approaches include the principal component analysis (PCA), indepe...
Ioan Buciu, Nikos Nikolaidis, Ioannis Pitas
111
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TSMC
2008
146views more  TSMC 2008»
15 years 1 months ago
Decentralized Learning in Markov Games
Learning Automata (LA) were recently shown to be valuable tools for designing Multi-Agent Reinforcement Learning algorithms. One of the principal contributions of LA theory is tha...
Peter Vrancx, Katja Verbeeck, Ann Nowé
MOBICOM
2009
ACM
15 years 8 months ago
Scheduling partition for order optimal capacity in large-scale wireless networks
The capacity scaling property specifies the changes in network throughput when network size increases and serves as an essential performance evaluation metric for large-scale wir...
Yi Xu, Wenye Wang