Abstract. In stochastic programming and decision analysis, an important issue consists in the approximate representation of the multidimensional stochastic underlying process in th...
Kristina Sutiene, Dalius Makackas, Henrikas Pranev...
We present new measures of the causal direction between two non-gaussian random variables. They are based on the likelihood ratio under the linear non-gaussian acyclic model (LiNG...
This paper addresses the rate allocation problem for wireless video streaming. Results from a simple subjective viewing test indicate that perceptually preferred allocation can be...
Abstract--In this paper, we introduce a novel approach for improved nonlinear system identification in the short-time Fourier transform (STFT) domain. We first derive explicit repr...
We address the issue of noise robustness of reconstruction techniques for frequency-domain optical-coherence tomography. We consider three reconstruction techniques: Fourier, iter...