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001476319 001__ 1476319
001476319 003__ OCoLC
001476319 005__ 20231003174643.0
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001476319 008__ 230829s2023\\\\sz\\\\\\ob\\\\001\0\eng\d
001476319 019__ $$a1394973706$$a1395182067
001476319 020__ $$a9783031337642$$q(electronic bk.)
001476319 020__ $$a3031337646$$q(electronic bk.)
001476319 020__ $$z3031337638
001476319 020__ $$z9783031337635
001476319 0247_ $$a10.1007/978-3-031-33764-2$$2doi
001476319 035__ $$aSP(OCoLC)1395440878
001476319 040__ $$aGW5XE$$beng$$erda$$epn$$cGW5XE$$dEBLCP$$dYDX$$dOCLCQ$$dOCLCO
001476319 049__ $$aISEA
001476319 050_4 $$aQA402.3
001476319 08204 $$a629.8/312$$223/eng/20230829
001476319 1001_ $$aChen, Badong,$$eauthor.
001476319 24510 $$aKalman filtering under information theoretic criteria /$$cBadong Chen, Lujuan Dang, Nanning Zheng, Jose C. Principe.
001476319 264_1 $$aCham, Switzerland :$$bSpringer,$$c2023.
001476319 300__ $$a1 online resource (300 pages)
001476319 336__ $$atext$$btxt$$2rdacontent
001476319 337__ $$acomputer$$bc$$2rdamedia
001476319 338__ $$aonline resource$$bcr$$2rdacarrier
001476319 504__ $$aIncludes bibliographical references and index.
001476319 5050_ $$aChapter 1. Introduction -- Chapter 2. Kalman filtering -- Chapter 3. Information theoretic criteria -- Chapter 4. Kalman Filtering Under Information Theoretic Criteria -- Chapter 5. Extended Kalman Filtering Under Information Theoretic Criteria -- Chapter 6. Unscented Kalman Filter Under Information Theoretic Criteria -- Chapter 7. Cubature Kalman Filtering Under Information Theoretic Criteria -- Chapter 8. Additional Topics in Kalman Filtering Under Information Theoretic Criteria.
001476319 506__ $$aAccess limited to authorized users.
001476319 520__ $$aThis book provides several efficient Kalman filters (linear or nonlinear) under information theoretic criteria. They achieve excellent performance in complicated non-Gaussian noises with low computation complexity and have great practical application potential. The book combines all these perspectives and results in a single resource for students and practitioners in relevant application fields. Each chapter starts with a brief review of fundamentals, presents the material focused on the most important properties and evaluates comparatively the models discussing free parameters and their effect on the results. Proofs are provided at the end of each chapter. The book is geared to senior undergraduates with a basic understanding of linear algebra, signal processing and statistics, as well as graduate students or practitioners with experience in Kalman filtering. Provides Kalman filters under information theoretic criteria to achieve excellent performance in a range of applications; Presents each chapter with a brief review of fundamentals and then focuses on the topics most important properties; Geared to students understanding of linear algebra, signal processing, and statistics.
001476319 588__ $$aDescription based on print version record.
001476319 650_0 $$aKalman filtering.
001476319 650_0 $$aElectric filters, Digital.
001476319 650_6 $$aFiltre de Kalman.
001476319 650_6 $$aFiltres numériques.
001476319 655_0 $$aElectronic books.
001476319 7001_ $$aDang, Lujuan,$$eauthor.
001476319 7001_ $$aZheng, Nanning,$$eauthor.
001476319 7001_ $$aPríncipe, J. C.$$q(José C.),$$eauthor.
001476319 77608 $$iPrint version:$$tKALMAN FILTERING UNDER INFORMATION THEORETIC CRITERIA.$$d[Place of publication not identified] : SPRINGER INTERNATIONAL PU, 2023$$z3031337638$$w(OCoLC)1376731893
001476319 852__ $$bebk
001476319 85640 $$3Springer Nature$$uhttps://univsouthin.idm.oclc.org/login?url=https://link.springer.com/10.1007/978-3-031-33764-2$$zOnline Access$$91397441.1
001476319 909CO $$ooai:library.usi.edu:1476319$$pGLOBAL_SET
001476319 980__ $$aBIB
001476319 980__ $$aEBOOK
001476319 982__ $$aEbook
001476319 983__ $$aOnline
001476319 994__ $$a92$$bISE