Book of Donmon Teith

Filtering or estimation is of great importance to virtually all disciplines of engineering and science that need inference, learning, information fusion, and kn

Grid-based Nonlinear Estimation and its Applications presents new Bayesian nonlinear estimation techniques developed in the last two decades. Grid-based estimat

A new approach to local nonlinear image restoration is described, based on approximating functions using a regular grid of points in a many-dimensional space. S

A new approach to local nonlinear image restoration is described, based on approximating functions using a regular grid of points in a many-dimensional space. S

This book covers a broad range of filter theories, algorithms, and numerical examples. The representative linear and nonlinear filters such as the Kalman filter