Nonlinear Filtering and Optimal Phase Tracking 2012th Edition

Nonlinear Filtering and Optimal Phase Tracking 2012th Edition book cover

Nonlinear Filtering and Optimal Phase Tracking 2012th Edition

Author(s): Zeev Schuss (Author)

  • Publisher: Springer
  • Publication Date: January 25, 2014
  • Edition: 2012th
  • Language: English
  • Print length: 280 pages
  • ISBN-10: 1489973818
  • ISBN-13: 9781489973818

Book 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.

Editorial Reviews

From the Back Cover

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.

About the Author

Zeev Schuss is a Professor in the School of Mathematical Sciences at Tel Aviv University.

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Nonlinear Filtering and Optimal Phase Tracking 2012th Edition

Nonlinear Filtering and Optimal Phase Tracking 2012th Edition book cover

Nonlinear Filtering and Optimal Phase Tracking 2012th Edition

Author(s): Zeev Schuss (Author)

  • Publisher: Springer
  • Publication Date: November 15, 2011
  • Edition: 2012th
  • Language: English
  • Print length: 280 pages
  • ISBN-10: 146140486X
  • ISBN-13: 9781461404866

Book 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.

Editorial Reviews

From the Back Cover

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.

About the Author

Zeev Schuss is a Professor in the School of Mathematical Sciences at Tel Aviv University.

View on Amazon

未经允许不得转载:Wow! eBook » Nonlinear Filtering and Optimal Phase Tracking 2012th Edition