Dynamic error processing approaches are an important mechanism to increase the reliability in a multiprocessor system, while making efficient use of the available resources. To th...
Andrea Bondavalli, Silvano Chiaradonna, Felicita D...
Three simple and explicit procedures for testing the independence of two multi-dimensional random variables are described. Two of the associated test statistics (L1, log-likelihoo...
Abstract. Most of the work in machine learning assume that examples are generated at random according to some stationary probability distribution. In this work we study the problem...
A method to estimate the magnitude MR data from several noisy samples is presented. It is based on the Linear Minimum Mean Squared Error (LMMSE) estimator for the Rician noise mode...
— We consider the optimal amount of training for single-antenna Rayleigh flat fading channels with peak-powerlimited input. The receiver uses known training symbols to perform m...