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 ...

Recall that kernel density estimation of a point pattern involves placing a kernel function at each point and averaging over all points to estimate density. Two things are primarily under our control ...