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LIBRIS Formathandbok  (Information om MARC21)

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Fältnamn	Indikatorer	Metadata
000		03515cam a22005773a 4500
001		9k79qbpd7hzw4k1g
003		SE-LIBR
005		20180707125403.0
007		cr ||| |||||
008		180707s2017 sw |||||o|||||000 ||eng|c
024	7	a http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-1440232 uri
024	7	a urn:nbn:se:liu:diva-1440232 urn
024	7	a 10.1109/CAMSAP.2017.83130892 doi
040		a S
041	0	a eng
042		9 EPLK
100	1	a Braga, André R.4 aut
111	2	a 2017 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP), Curacao, Dutch Antilles, Dec. 10-13, 2017
245	1 0	a Rapid System Identification for Jump Markov Non-Linear Systemsh [Elektronisk resurs]
264	1	b IEEE,c 2017
500		a ELLIIT - The Linköping‐Lund Initiative on IT and Mobile Communications
506	0	a gratis
520		a This work evaluates a previously introduced algorithm called Particle-Based Rapid Incremental Smoother within the framework of state inference and parameter identification in Jump Markov Non-Linear System. It is applied to the recursive form of two well-known Maximum Likelihood based algorithms who face the common challenge of online computation of smoothed additive functionals in order to accomplish the task of model parameter estimation. This work extends our previous contributions on identification of Markovian switching systems with the goal to reduce the computational complexity. A benchmark problem is used to illustrate the results.
650	7	a Engineering and Technology2 hsv
650	7	a Electrical Engineering, Electronic Engineering, Information Engineering2 hsv
650	7	a Signal Processing2 hsv
650	7	a Teknik och teknologier2 hsv
650	7	a Elektroteknik och elektronik2 hsv
650	7	a Signalbehandling2 hsv
653	0	a parameter estimation
653	0	a system indentification
653	0	a jump Markov systems
653	0	a particle filtering
700	1	a Fritsche, Carsten,d 1978-4 aut
700	1	a Bruno, Marcelo G. S.4 aut
700	1	a Gustafsson, Fredrik,d 1964-4 aut
710	1	a Linköpings universitetb Institutionen för systemteknik4 pbl
710	1	a Linköpings universitetb Tekniska fakulteten4 pbl
772	1	i channel recordw 18478042
773	0	i Värdpublikationt Proc. 2017 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)g 714-718z 9781538612514
787	0	i Värdpublikation i annat formatt Proc. 2017 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)z 9781538612507
787	0	i Värdpublikation i annat formatt Proc. 2017 IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP)z 9781538612521
856	4 0	u http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-144023
856	4 0	u http://dx.doi.org/10.1109/CAMSAP.2017.8313089
856	4 0	u http://liu.diva-portal.org/smash/get/diva2:1170438/FULLTEXT01
887		a {"@id":"9k79qbpd7hzw4k1g","modified":"2018-07-07T12:54:03.777+02:00","checksum":"80093385023"}2 librisxl
841		5 APISa x ab 180707||0000|||||001||||||000000e 1
024	7	5 APISa urn:nbn:se:liu:diva-1440232 urn
852		5 APISb APIS
856	4 0	5 APISu http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-144023
887		5 APISa {"@id":"pzmp4q3vm19z8tvt","modified":"2018-07-07T12:54:03.836+02:00","checksum":"8724954152"}2 librisxl

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