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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.