2 papers
eess.SP2018
Segmentation of TCD Cerebral Blood Flow Velocity Recordings
Federico Wadehn, Andrea Fanelli, Thomas Heldt
A binary beat-by-beat classification algorithm for cerebral blood flow velocity (CBFV) recordings based on amplitude, spectral and morphological features is presented. The classifi…
cs.IT2016
On Sparsity by NUV-EM, Gaussian Message Passing, and Kalman Smoothing
Hans-Andrea Loeliger, Lukas Bruderer, Hampus Malmberg +2
Normal priors with unknown variance (NUV) have long been known to promote sparsity and to blend well with parameter learning by expectation maximization (EM). In this paper, we adv…