東華大學圖書館 |

語系: 繁體中文

說明(常見問題)

回圖書館首頁

手機版館藏查詢

登入

回首頁

切換: 標籤 | MARC模式 | ISBD

Kalman filtering under information t...

Chen, Badong.

FindBook

Google Book

Amazon

博客來

Kalman filtering under information theoretic criteria

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Kalman filtering under information theoretic criteria/ by Badong Chen ... [et al.].
其他作者:	Chen, Badong.
出版者:	Cham :Springer International Publishing : : 2023.,
面頁冊數:	xv, 294 p. :ill., digital ;24 cm.
內容註:	Chapter 1. Introduction -- Chapter 2. Kalman filtering -- Chapter 3. Information theoretic criteria -- Chapter 4. Kalman Filtering Under Information Theoretic Criteria -- Chapter 5. Extended Kalman Filtering Under Information Theoretic Criteria -- Chapter 6. Unscented Kalman Filter Under Information Theoretic Criteria -- Chapter 7. Cubature Kalman Filtering Under Information Theoretic Criteria -- Chapter 8. Additional Topics in Kalman Filtering Under Information Theoretic Criteria.
Contained By:	Springer Nature eBook
標題:	Kalman filtering. -
電子資源:	https://doi.org/10.1007/978-3-031-33764-2
ISBN:	9783031337642

Kalman filtering under information theoretic criteria
Kalman filtering under information theoretic criteria[electronic resource] /by Badong Chen ... [et al.]. - Cham :Springer International Publishing :2023. - xv, 294 p. :ill., digital ;24 cm.

Chapter 1. Introduction -- Chapter 2. Kalman filtering -- Chapter 3. Information theoretic criteria -- Chapter 4. Kalman Filtering Under Information Theoretic Criteria -- Chapter 5. Extended Kalman Filtering Under Information Theoretic Criteria -- Chapter 6. Unscented Kalman Filter Under Information Theoretic Criteria -- Chapter 7. Cubature Kalman Filtering Under Information Theoretic Criteria -- Chapter 8. Additional Topics in Kalman Filtering Under Information Theoretic Criteria.

This book provides several efficient Kalman filters (linear or nonlinear) under information theoretic criteria. They achieve excellent performance in complicated non-Gaussian noises with low computation complexity and have great practical application potential. The book combines all these perspectives and results in a single resource for students and practitioners in relevant application fields. Each chapter starts with a brief review of fundamentals, presents the material focused on the most important properties and evaluates comparatively the models discussing free parameters and their effect on the results. Proofs are provided at the end of each chapter. The book is geared to senior undergraduates with a basic understanding of linear algebra, signal processing and statistics, as well as graduate students or practitioners with experience in Kalman filtering. Provides Kalman filters under information theoretic criteria to achieve excellent performance in a range of applications; Presents each chapter with a brief review of fundamentals and then focuses on the topic's most important properties; Geared to students' understanding of linear algebra, signal processing, and statistics.

ISBN: 9783031337642

Standard No.: 10.1007/978-3-031-33764-2doiSubjects--Topical Terms:

544465
Kalman filtering.

LC Class. No.: QA402.3

Dewey Class. No.: 629.8312

Kalman filtering under information theoretic criteria
LDR:02721nmm a2200349 a 4500 001 2334075
003 DE-He213
005 20230818140441.0
006 m d
007 cr nn 008maaau
008 240402s2023 sz s 0 eng d
020 $a 9783031337642 $q (electronic bk.)
020 $a 9783031337635 $q (paper)
024 7 $a 10.1007/978-3-031-33764-2 $2 doi
035 $a 978-3-031-33764-2
040 $a GP $c GP
041 0 $a eng
050 4 $a QA402.3
072 7 $a TJF $2 bicssc
072 7 $a UYS $2 bicssc
072 7 $a TEC008000 $2 bisacsh
072 7 $a TJF $2 thema
072 7 $a UYS $2 thema
082 0 4 $a 629.8312 $2 23
090 $a QA402.3 $b .K14 2023
245 0 0 $a Kalman filtering under information theoretic criteria $h [electronic resource] / $c by Badong Chen ... [et al.].
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2023.
300 $a xv, 294 p. : $b ill., digital ; $c 24 cm.
505 0 $a Chapter 1. Introduction -- Chapter 2. Kalman filtering -- Chapter 3. Information theoretic criteria -- Chapter 4. Kalman Filtering Under Information Theoretic Criteria -- Chapter 5. Extended Kalman Filtering Under Information Theoretic Criteria -- Chapter 6. Unscented Kalman Filter Under Information Theoretic Criteria -- Chapter 7. Cubature Kalman Filtering Under Information Theoretic Criteria -- Chapter 8. Additional Topics in Kalman Filtering Under Information Theoretic Criteria.
520 $a This book provides several efficient Kalman filters (linear or nonlinear) under information theoretic criteria. They achieve excellent performance in complicated non-Gaussian noises with low computation complexity and have great practical application potential. The book combines all these perspectives and results in a single resource for students and practitioners in relevant application fields. Each chapter starts with a brief review of fundamentals, presents the material focused on the most important properties and evaluates comparatively the models discussing free parameters and their effect on the results. Proofs are provided at the end of each chapter. The book is geared to senior undergraduates with a basic understanding of linear algebra, signal processing and statistics, as well as graduate students or practitioners with experience in Kalman filtering. Provides Kalman filters under information theoretic criteria to achieve excellent performance in a range of applications; Presents each chapter with a brief review of fundamentals and then focuses on the topic's most important properties; Geared to students' understanding of linear algebra, signal processing, and statistics.
650 0 $a Kalman filtering. $3 544465
650 0 $a Electric filters, Digital. $3 678093
650 1 4 $a Signal, Speech and Image Processing. $3 3592727
650 2 4 $a Mathematical Methods in Physics. $3 890898
650 2 4 $a Theoretical, Mathematical and Computational Physics. $3 1066859
650 2 4 $a Quantitative Economics. $3 3538570
650 2 4 $a Mathematical and Computational Engineering Applications. $3 3592737
650 2 4 $a Artificial Intelligence. $3 769149
700 1 $a Chen, Badong. $3 2046202
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-031-33764-2
950 $a Mathematics and Statistics (SpringerNature-11649)