Nonlinear Filtering and Optimal Phase Tracking
Published on 15. November 2011
Book
Hardback
XVIII, 262 pages
978-1-4614-0486-6 (ISBN)
Description
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.
More details
Series
Edition
2012
Language
English
Place of publication
New York
United States
Target group
Primary & secondary/elementary & high school
Graduate
Illustrations
XVIII, 262 p.
Dimensions
Height: 241 mm
Width: 160 mm
Thickness: 21 mm
Weight
588 gr
ISBN-13
978-1-4614-0486-6 (9781461404866)
DOI
10.1007/978-1-4614-0487-3
Schweitzer Classification
Other editions
Additional editions
Zeev Schuss
Nonlinear Filtering and Optimal Phase Tracking
Book
01/2014
Springer
€53.49
Shipment within 15-20 days
Zeev Schuss
Nonlinear Filtering and Optimal Phase Tracking
E-Book
11/2011
1st Edition
Springer
€53.49
Available for download
Person
Zeev Schuss is a Professor in the School of Mathematical Sciences at Tel Aviv University.
Content
Diffusion and Stochastic Differential Equations.- Euler's Simulation Scheme and Wiener's Measure.- Nonlinear Filtering and Smoothing of Diffusions.- Small Noise Analysis of Zakai's Equation.- Loss of Lock in Phase Trackers.- Loss of Lock in RADAR and Synchronization.- Phase Tracking with Optimal Lock Time.- Bibliography.- Index