When dealing with ill-posed inverse problems in data analysis, the Bayesian approach allows one to use prior information to guide the result toward reasonable solutions. In this w...
K. M. Hanson, G. S. Cunningham, G. R. Jennings Jr....
Kernel-based tracking approaches have proven to be more efficient in computation compared to other tracking approaches such as particle filtering. However, existing kernel-based...
A solution is proposed of the hitherto unsolved problem as to how neural feedforward through inverse modelling and negative feedback realised by a mechanical spring can be combined...
Karl-Theodor Kalveram, Thomas Schinauer, Steffen B...
Fluid flow in porous media is a dynamic process that is traditionally modeled using PDE (Partial Differential Equations). In this approach, physical properties related to fluid fl...
Blind inversion of a linear and instantaneous mixture of source signals is a problem often encountered in many signal processing applications. Efficient FastICA (EFICA) offers an ...