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Nonlinear filtering and optimal phase tracking

Zeev Schuss ([Springer, ], 2012)

 Abstrak

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 contains exercises and worked-out examples aimed at illustrating the methods of mathematical modeling and performance analysis of phase trackers.

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 Metadata

No. Panggil : e20419201
Entri utama-Nama orang :
Subjek :
Penerbitan : New York: [Springer, ], 2012
Sumber Pengatalogan: LibUI eng rda
Tipe Konten: text
Tipe Media: computer
Tipe Pembawa: online resource
Deskripsi Fisik:
Tautan: http://link.springer.com/book/10.1007%2F978-1-4614-0487-3
Lembaga Pemilik:
Lokasi:
  • Ketersediaan
  • Ulasan
No. Panggil No. Barkod Ketersediaan
e20419201 20-21-908016311 TERSEDIA
Ulasan:
Tidak ada ulasan pada koleksi ini: 20419201