Kernel methods have emerged as a powerful tool in adaptive filtering and system identification, enabling the processing and modelling of complex, nonlinear relationships in dynamic systems. By mapping ...

We consider Bayesian inference for mixture distributions of known number of components via a set of filtering recursions. We extend a method—proposed in an earlier article—of direct simulation for ...

Even though, as discrete units, power sources will normally be able to comply with relevant regulations concerning electromagnetic interference (EMI), it is within the context of a complete system ...