introduction: several supra spinal areas such as rostral ventrolateral medulla (rvlm) area are involved in basic cardiovascular regulation. the kolliker— fuse nucleus (kf) is located in pons and is heavily connected with rvlm. the cardiovascular effect of kf nucleus has been shown and it is suggested that kf is involved in sympathetic vasomotor tone and basic cardiovascular regulation. therefor...

The practical application of the ensemble transform Kalman filter (ET KF), used in recent Winter Storm Reconnaissance (WSR) programs by the National Centers for Environmental Prediction (NCEP), is described. The ET KF assesses the value of targeted observations taken at future times in improving forecasts for preselected critical events. It is based on a serial assimilation framework that makes...

We consider the problem of recursively reconstructing time sequences of sparse signals (with unknown and time-varying sparsity patterns) from a limited number of linear incoherent measurements with additive noise. The idea of our proposed solution, KF CS-residual (KFCS) is to replace compressed sensing (CS) on the observation by CS on the Kalman filtered (KF) observation residual computed using...

Let G be a connected graph of order n with Laplacian eigenvalues μ1 ≥ μ2 ≥ . . .≥ μn−1 > μn = 0. The Kirchhoff index of G is defined as Kf = Kf(G) = n∑n−1 k=1 1/μk. In this paper. we give lower and upper bounds on Kf of graphs in terms on n, number of edges, maximum degree, and number of spanning trees. Moreover, we present lower and upper bounds on the Nordhaus–Gaddum-type result for the Kirch...

Generative state estimators based on probabilistic filters and smoothers are one of the most popular classes of state estimators for robots and autonomous vehicles. However, generative models have limited capacity to handle rich sensory observations, such as camera images, since they must model the entire distribution over sensor readings. Discriminative models do not suffer from this limitatio...

This paper presents the comparison between cooperative and local Kalman Filters (KF) for estimating the absolute segment angle, under two calibration conditions. A simplified calibration, that can be replicated in most laboratories; and a complex calibration, similar to that applied by commercial vendors. The cooperative filters use information from either all inertial sensors attached to the b...

This paper reviews the Kalman Filter (KF) as a tool for navigation systems, with focus on uninhabited surface vehicle (USV) navigation. The most common types of sensors being used on such vessels are identified, the KF being at the centre of the data-fusion algorithm. However, some of the limitations of the KF are noted, such as its performance degradation when inaccurate noise statistics are a...