I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
Kalman Filter Changepoint Detection and Trend Characterizat..:
, In:
2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)
,
Kuzdeba, Scott
;
Hombs, Brandon
;
Greenlee, Jeremy D.
. - p. 1-6 , 2019
Link:
https://doi.org/10.1109/MLSP.2019.8918763
RT T1
2019 IEEE 29th International Workshop on Machine Learning for Signal Processing (MLSP)
: T1
Kalman Filter Changepoint Detection and Trend Characterization
UL https://suche.suub.uni-bremen.de/peid=ieee-8918763&Exemplar=1&LAN=DE A1 Kuzdeba, Scott A1 Hombs, Brandon A1 Greenlee, Jeremy D. A1 Guenther, Frank H. YR 2019 K1 Market research K1 Kalman filters K1 Biological system modeling K1 Predictive models K1 Task analysis K1 Electrodes K1 Data models K1 Change Detection K1 Kalman Filter K1 change-point K1 electrocorticography (ECoG) K1 trend analysis SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/MLSP.2019.8918763 DO https://doi.org/10.1109/MLSP.2019.8918763 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)