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ICIP
2006
IEEE
15 years 11 months ago
Low Cost Robust Blur Estimator
A novel local blur estimation method is presented in the paper. Focal blur process is usually modeled as a Gaussian low-pass filtering and then the problem of blur estimation is t...
Hao Hu, Gerard de Haan
GLOBECOM
2007
IEEE
15 years 4 months ago
Asymptotic BEP and SEP of Differential EGC in Correlated Ricean Fading and Non-Gaussian Noise
— In this paper, we study the asymptotic behavior of the bit–error probability (BEP) and symbol–error probability (SEP) of differential M–ary phase–shift keying with diff...
Ali Nezampour, Amir Nasri, Robert Schober, Yao Ma
CORR
2008
Springer
126views Education» more  CORR 2008»
14 years 9 months ago
Approximate Capacity of Gaussian Relay Networks
We present an achievable rate for general Gaussian relay networks. We show that the achievable rate is within a constant number of bits from the information-theoretic cut-set uppe...
Amir Salman Avestimehr, Suhas N. Diggavi, David N....
TSP
2010
14 years 4 months ago
Gaussian multiresolution models: exploiting sparse Markov and covariance structure
We consider the problem of learning Gaussian multiresolution (MR) models in which data are only available at the finest scale and the coarser, hidden variables serve both to captu...
Myung Jin Choi, Venkat Chandrasekaran, Alan S. Wil...
ISNN
2010
Springer
14 years 8 months ago
Particle Swarm Optimization Based Learning Method for Process Neural Networks
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
Kun Liu, Ying Tan, Xingui He