Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking

preview-18
  • Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking Book Detail

  • Author : Harry L. Van Trees
  • Release Date : 2007-08-31
  • Publisher : Wiley-IEEE Press
  • Genre : Technology & Engineering
  • Pages : 951
  • ISBN 13 : 9780470120958
  • File Size : 58,58 MB

Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking by Harry L. Van Trees PDF Summary

Book Description: The first comprehensive development of Bayesian Bounds for parameter estimation and nonlinear filtering/tracking Bayesian estimation plays a central role in many signal processing problems encountered in radar, sonar, communications, seismology, and medical diagnosis. There are often highly nonlinear problems for which analytic evaluation of the exact performance is intractable. A widely used technique is to find bounds on the performance of any estimator and compare the performance of various estimators to these bounds. This book provides a comprehensive overview of the state of the art in Bayesian Bounds. It addresses two related problems: the estimation of multiple parameters based on noisy measurements and the estimation of random processes, either continuous or discrete, based on noisy measurements. An extensive introductory chapter provides an overview of Bayesian estimation and the interrelationship and applicability of the various Bayesian Bounds for both static parameters and random processes. It provides the context for the collection of papers that are included. This book will serve as a comprehensive reference for engineers and statisticians interested in both theory and application. It is also suitable as a text for a graduate seminar or as a supplementary reference for an estimation theory course.

Disclaimer: www.yourbookbest.com does not own Bayesian Bounds for Parameter Estimation and Nonlinear Filtering/Tracking books pdf, neither created or scanned. We just provide the link that is already available on the internet, public domain and in Google Drive. If any way it violates the law or has any issues, then kindly mail us via contact us page to request the removal of the link.

Bayesian Filtering and Smoothing

Bayesian Filtering and Smoothing

File Size : 43,43 MB
Total View : 8356 Views
DOWNLOAD

Now in its second edition, this accessible text presents a unified Bayesian treatment of state-of-the-art filtering, smoothing, and parameter estimation algorit

Nonlinear Filters

Nonlinear Filters

File Size : 45,45 MB
Total View : 3745 Views
DOWNLOAD

NONLINEAR FILTERS Discover the utility of using deep learning and (deep) reinforcement learning in deriving filtering algorithms with this insightful and powerf

Bayesian Filtering and Smoothing

Bayesian Filtering and Smoothing

File Size : 43,43 MB
Total View : 4537 Views
DOWNLOAD

A unified Bayesian treatment of the state-of-the-art filtering, smoothing, and parameter estimation algorithms for non-linear state space models.