Towards evasive maneuvers with quadrotors using dynamic vision sensors
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The noise emission level from a vehicle is significantly influenced by different driving conditions and drivers’ behaviour. Almost all the in practice road traffic noise estimation models do not differentiate between different operating conditions. In this ...
We propose here a new pointwise wavelet thresholding function that incorporates inter-scale dependencies. This non-linear function depends on a set of four linear parameters per subband which are set by minimizing Stein's unbiased MSE estimate (SURE). Our ...
Functional magnetic resonance imaging (fMRI) is a recent technique that allows the measurement of brain metabolism (local concentration of deoxyhemoglobin using BOLD contrast) while subjects are performing a specific task. A block paradigm produces alterna ...
Recently, we proposed a noniterative cepstral technique for exact signal recovery in frequency-domain optical-coherence tomography. In this paper, we address the influence of measurement noise on the performance of the method. We derive analytical expressi ...
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Recently, we proposed a noniterative cepstral technique for exact signal recovery in frequency-domain optical-coherence tomography. In this paper, we address the influence of measurement noise on the performance of the method. We derive analytical expressi ...
The critical current in multistrands superconducting (SC) cables is usually lower than expected due to current unbalance among strands and early current sharing. It is then crucial to be able to detect the current distribution in SC cables to assess their ...
Multivariate Hawkes processes (MHP) are widely used in a variety of fields to model the occurrence of discrete events. Prior work on learning MHPs has only focused on inference in the presence of perfect traces without noise. We address the problem of lear ...