Bayesian estimation and tracking : (Record no. 682023)

MARC details
000 -LEADER
fixed length control field 03315nam a2200337 a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250919184854.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 130819s2012 njua b 001 0 eng
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780470621707 (hbk.)
Terms of availability RM397.47
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 0470621702 (hbk.)
039 #9 - LEVEL OF BIBLIOGRAPHIC CONTROL AND CODING DETAIL [OBSOLETE]
Level of rules in bibliographic description 201312231124
Level of effort used to assign nonsubject heading access points zabidah
Level of effort used to assign subject headings 201312171215
Level of effort used to assign classification ros
y 08-19-2013
z ros
040 ## - CATALOGING SOURCE
Original cataloging agency DLC
Language of cataloging eng
Transcribing agency DLC
Modifying agency YDX
-- BTCTA
-- BDX
-- YDXCP
-- OCLCO
-- BWX
-- DLC
-- UKM
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) QA279.5.H385
090 ## - LOCALLY ASSIGNED LC-TYPE CALL NUMBER (OCLC); LOCAL CALL NUMBER (RLIN)
Classification number (OCLC) (R) ; Classification number, CALL (RLIN) (NR) QA279.5
Local cutter number (OCLC) ; Book number/undivided call number, CALL (RLIN) .H385
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Haug, Anton J.,
Dates associated with a name 1941-
245 10 - TITLE STATEMENT
Title Bayesian estimation and tracking :
Remainder of title a practical guide /
Statement of responsibility, etc. Anton J. Haug.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Hoboken, N.J. :
Name of publisher, distributor, etc. Wiley,
Date of publication, distribution, etc. 2012.
300 ## - PHYSICAL DESCRIPTION
Extent xxvi, 369 p. :
Other physical details ill. ;
Dimensions 25 cm.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes bibliographical references and index.
520 ## - SUMMARY, ETC.
Summary, etc. '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 theory, the book shows how each tracking filter is derived from a slight modification to a previous filter. Such a development gives readers a broader understanding of the hierarchy of Bayesian estimation and tracking. Following the discussions about each tracking filter, the filter is put into block diagram form for ease in future recall and reference. The book presents a completely unified approach to Bayesian estimation and tracking, and this is accomplished by showing that the current posterior density for a state vector can be linked to its previous posterior density through the use of Bayes' Law and the Chapman-Kolmogorov integral. Predictive point estimates are then shown to be density-weighted integrals of nonlinear functions. The book also presents a methodology that makes implementation of the estimation methods simple (or, rather, simpler than they have been in the past). Each algorithm is accompanied by a block diagram that illustrates how all parts of the tracking filter are linked in a never-ending chain, from initialization to the loss of track. These filter block diagrams provide a ready picture for implementing the algorithms into programmable code. In addition, four completely worked out case studies give readers examples of implementation, from simulation models that generate noisy observations to worked-out applications for all tracking algorithms. This book also presents the development and application of track performance metrics, including how to generate error ellipses when implementing in real-world applications, how to calculate RMS errors in simulation environments, and how to calculate Cramer-Rao lower bounds for the RMS errors. These are also illustrated in the case study presentations'--
Assigning source Provided by publisher.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Bayesian statistical decision theory.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Automatic tracking
General subdivision Mathematics.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Estimation theory.
907 ## - LOCAL DATA ELEMENT G, LDG (RLIN)
a .b15704397
b 2019-11-12
c 2019-11-12
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type AM
Suppress in OPAC No
Call number prefix QA279.5.H385
914 ## - VTLS Number
VTLS Number vtls003537465
990 ## - EQUIVALENCES OR CROSS-REFERENCES [LOCAL, CANADA]
Link information for 9XX fields za
991 ## - LOCAL NOTE (NAMA FAKULTI/INSTITUT/PUSAT)
a Fakulti Sains dan Teknologi
998 ## - LOCAL CONTROL INFORMATION (RLIN)
Library PERPUSTAKAAN TUN SERI LANANG
Operator's initials, OID (RLIN) 2013-06-08
Cataloger's initials, CIN (RLIN) m
Material Type (Sierra) Printed Books
Language English
Country
-- 0
-- .b15704397
Holdings
Withdrawn status Lost status Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Inventory number Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
        PERPUSTAKAAN TUN SERI LANANG PERPUSTAKAAN TUN SERI LANANG KOLEKSI AM-P. TUN SERI LANANG (ARAS 5) 12/11/2019 - 397.47 .i20378695 2 QA279.5.H385 00002106630 19/09/2025 1 19/09/2025 AM

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