Linear and Nonlinear Filtering for Scientists and Engineers

Combines both rigour and intuition to derive most of the classical results of linear and nonlinear filtering and beyond. The book provides a theoretical basis for the numerical solution of nonlinear filter equations illustrated by multidimensional examples. It also provides a foundation for theoretical understanding of the subject based on the theory of stochastic differential equations.