We introduce Bayesian Expansion (BE), an approximate numerical technique for passage time distribution analysis in queueing networks. BE uses a class of Bayesian networks to appro...
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
Spectrum sharing employs dynamic allocation of frequency resources for a more efficient use of the radio spectrum. Despite its appealing features, this technology inevitably compli...
Luca Sanguinetti, Michele Morelli, H. Vincent Poor
Abstract--In this paper, we propose a fingerprint-based localization scheme that exploits the location dependency of the channel impulse response (CIR). We approximate the CIR by a...
In this paper, we present a new approach to enhance noisy speech based on an environmental model incorporating the phase between noise and clean speech (often called phasesensitiv...
Pourya S. Jafari, Hou-Yong Kang, Xiaosong Wang, Qi...