Bayesian estimation and tracking a practical guide /

"This book presents a practical approach to estimation methods that are designed to provide a clear path to programming all algorithms. Readers are provided with a firm understanding of Bayesian estimation methods and their interrelatedness. Starting with fundamental principles of Bayesian theo...

Cijeli opis

Spremljeno u:
Bibliografski detalji
Glavni autor: Haug, Anton J., 1941-
Autor kompanije: ebrary, Inc
Format: Elektronički e-knjiga
Jezik:engleski
Izdano: Hoboken, N.J. : Wiley, 2012.
Teme:
Online pristup:An electronic book accessible through the World Wide Web; click to view
Oznake: Dodaj oznaku
Bez oznaka, Budi prvi tko označuje ovaj zapis!
Sadržaj:
  • pt. 1. Preliminaries
  • pt. 2. The Gaussian assumption : a family of Kalman filter estimators
  • pt. 3. Monte Carlo methods
  • pt. 4. Additional case studies.