The book combines both rigor and intuition to derive most of the classical results of linear and nonlinear filtering and beyond. Many fundamental results recent

This unified treatment of linear and nonlinear filtering theory presents material previously available only in journals, and in terms accessible to engineering

NONLINEAR FILTERS Discover the utility of using deep learning and (deep) reinforcement learning in deriving filtering algorithms with this insightful and powerf

Nonlinear Filtering covers linear and nonlinear filtering in a comprehensive manner, with appropriate theoretic and practical development. Aspects of modeling,

The function of a filter is to transform a signal into another one more suit able for a given purpose. As such, filters find applications in telecommunica tions