Searched for: subject%3A%22Time%255C%2Bvarying%255C%2Bnetworks%22
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Natali, A. (author), Isufi, E. (author), Coutino, M. (author), Leus, G. (author)
Topology identification is an important problem across many disciplines, since it reveals pairwise interactions among entities and can be used to interpret graph data. In many scenarios, however, this (unknown) topology is time-varying, rendering the problem even harder. In this paper, we focus on a time-varying version of the structural...
conference paper 2021
van der Eerden, F. (author), Graafland, F. (author), Wessels, P. (author), Segers, A. (author), Salomons, E. (author)
Noise control for an urban district starts by understanding the actual noise situation. A correct understanding is needed to take appropriate and cost efficient measures. For a noise burdened urban district, surrounded by road and rail traffic, the traffic noise as well as the annoyance has been measured. The size of the district is...
conference paper 2014
Tang, Z. (author), Blacquière, G. (author), Leus, G. (author)
Sparse signal representation (SSR) is considered to be an appealing alternative to classical beamforming for direction-of-arrival (DOA) estimation. For wideband signals, the SSR-based approach constructs steering matrices, referred to as dictionaries in this paper, corresponding to different frequency components of the target signal. However,...
article 2011