Discover a practical, comprehensive model of effective professional learning communities. In this user-friendly guide, educators explore research-based steps and strategies designed to increase the effectiveness of collaborative teams and enhance PLCs. Examine how the PLC process can transform critical components of education-including curriculum,…
This book offers an analytical rather than measure-theoretical approach to the derivation of the partial differential equations of nonlinear filtering theory. The basis for this approach is the discrete numerical scheme used in Monte-Carlo simulations of stochastic differential equations and Wiener's associated path integral representation of the transition probability density. Furthermore, it presents analytical methods for constructing asymptotic approximations to their solution and for synthesizing asymptotically optimal filters. It also offers a new approach to the phase tracking problem, based on optimizing the mean time to loss of lock. The book is based on lecture notes from a one-semester special topics course on stochastic processes and their applications that the author taught many times to graduate students of mathematics, applied mathematics, physics, chemistry, computer science, electrical engineering, and other disciplines. The book contains exercises and worked-out examples aimed at illustrating the methods of mathematical modeling and performance analysis of phase trackers.
How to download book
Buy this book
You can buy this book now only for $51.29. This is the lowest price for this book.
Download book free
If you want to download this book for free, please register, approve your account and get one book for free.
After that you may download book «Nonlinear Filtering and Optimal Phase Tracking»: