Abstract-- Channel estimation for frequency-selective timevarying channels is considered using superimposed training. We employ a discrete prolate spheroidal basis expansion model ...
Abstract-- Recovery of traffic in connectionless pure IP networks has traditionally been handled by a full re-convergence of the network state. This process operates in a time scal...
Audun Fosselie Hansen, Olav Lysne, Tarik Cicic, St...
Abstract. The interactive digital multimedia broadcasting stands for a convergence application between digital multimedia broadcasting service and wireless internet service. It dev...
Abstract. In this pilot study, a neural architecture for temporal emotion recognition from image sequences is proposed. The investigation aims at the development of key principles ...
Abstract. Adaptive Benford's Law [1] is a digital analysis technique that specifies the probabilistic distribution of digits for many commonly occurring phenomena, even for in...