Suchergebnisse - "recursive EM algorithm"

Online state and unknown inputs estimation for nonlinear systems with particle filter based recursive expectation‐maximization algorithm: Online state and unknown inputs estimation for nonlinear systems with particle filter based recursive expectation-maximization algorithm

Autoren: Zhuangyu Liu Shunyi Zhao Haiying Wan et al.

Quelle: International Journal of Robust and Nonlinear Control. 34:8768-8784

Schlagwörter: 0209 industrial biotechnology, Estimation and detection in stochastic control theory, particle filter (PF), recursive EM algorithm, 0202 electrical engineering, electronic engineering, information engineering, Nonlinear systems in control theory, unknown inputs (UIs), 02 engineering and technology, fermentation process, Filtering in stochastic control theory

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/7900075
https://doi.org/10.1002/rnc.7416

Multi-Sensor Recursive EM Algorithm for Robust Identification of ARX Models

Autoren: Xin Chen Jiale Li

Quelle: Sensors, Vol 25, Iss 22, p 7060 (2025)

Schlagwörter: robust system identification, multi-sensor data fusion, ARX model, recursive EM algorithm, student’s t-distribution, Chemical technology, TP1-1185

Dateibeschreibung: electronic resource

Relation: https://www.mdpi.com/1424-8220/25/22/7060; https://doaj.org/toc/1424-8220

Zugangs-URL: https://doaj.org/article/15a4bda86fe347c09f1e00188e2bdc0e

Isolated Word Recognition by Recursive HMM Parameter Estimation Algorithm

Autoren: Leonidas Sakalauskas Jūratė Vaičiulytė

Quelle: COMPUTING AND INFORMATICS; Vol. 40 No. 2 (2021): Computing and Informatics; 277–297

Schlagwörter: recursive EM algorithm, 0202 electrical engineering, electronic engineering, information engineering, 68T10, Hidden Markov models, on-line algorithm, 62H12, 02 engineering and technology, isolated word recognition, likelihood method, 62H30, 68T05

Dateibeschreibung: application/pdf

Zugangs-URL: http://www.cai.sk/ojs/index.php/cai/article/download/2021_2_277/1083
https://www.cai.sk/ojs/index.php/cai/article/view/2021_2_277
http://147.213.75.17/ojs/index.php/cai/article/view/2021_2_277
http://www.cai.sk/ojs/index.php/cai/article/view/2021_2_277

Recursive identification algorithms for jump Markov linear systems and elliptical extended target tracking ; Markov atlamalı doğrusal sistemler ve eliptik genişletilmiş hedef takibi için özyinelemeli tanımlama algoritmaları

Autoren: Çetinkaya, Mehmet Özkan, Emre Department of Electrical and Electronics Engineering

Weitere Verfasser: Çetinkaya, Mehmet Özkan, Emre Department of Electrical and Electronics Engineering

Schlagwörter: Jump Markov linear systems, Recursive EM algorithm, Online identification, Elliptical target tracking, Iterated extended Kalman filter, Arbis Subjects::Engineering and Technology::Electrical and Electronics Engineering::Other

Dateibeschreibung: application/pdf

Relation: https://hdl.handle.net/11511/113460

Verfügbarkeit: https://hdl.handle.net/11511/113460

A combined adaptive-mixtures/plug-in estimator of multivariate probability densities

Autoren: Jacek Koronacki Jan Ćwik

Quelle: Computational Statistics & Data Analysis. 26:199-218

Schlagwörter: Density estimation, Estimation in multivariate analysis, density estimation, plug-in kernel estimation, recursive EM algorithm, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology, Gaussian clustering algorithm, 0101 mathematics, 01 natural sciences

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/1170037
https://doi.org/10.1016/s0167-9473(97)00032-7
https://www.sciencedirect.com/science/article/abs/pii/S0167947397000327
https://ideas.repec.org/a/eee/csdana/v26y1997i2p199-218.html
https://econpapers.repec.org/RePEc:eee:csdana:v:26:y:1997:i:2:p:199-218
http://www.sciencedirect.com/science/article/pii/S0167947397000327

RECURSIVE ESTIMATION IN SWITCHING AUTOREGRESSIONS WITH A MARKOV REGIME: Recursive estimation in switching autoregressions with a Markov regime

Autoren: Georg Lindgren Mikael Thuvesholmen Ulla Holst et al.

Quelle: Journal of Time Series Analysis. 15:489-506

Schlagwörter: maximum likelihood method, Markov processes: estimation, hidden Markov models, hidden Markov chain, hidden Markov regime, recursive EM algorithm, switching autoregressive process, suboptimal modifications of Kalman filtering, 0101 mathematics, AR(2) models, Gaussian noise, stationarity results, 01 natural sciences, Inference from stochastic processes and prediction

Dateibeschreibung: application/xml

Zugangs-URL: https://zbmath.org/711385
https://doi.org/10.1111/j.1467-9892.1994.tb00206.x
https://onlinelibrary.wiley.com/doi/10.1111/j.1467-9892.1994.tb00206.x
https://lup.lub.lu.se/record/1210468
https://portal.research.lu.se/sv/publications/recursive-estimation-in-switching-autoregressions-with-markov-reg
https://www.lunduniversity.lu.se/lup/publication/bcaed6b0-a7e0-4417-8905-909fef2546c1

Recursive parameter estimation algorithm of the Dirichlet hidden Markov model

Autoren: Vaičiulytė, Jūratė Sakalauskas, Leonidas

Quelle: Journal of statistical computation and simulation, Abingdon : Taylor & Francis Inc., 2020, vol. 90, iss. 2, p. 306-323 ; ISSN 0094-9655 ; eISSN 1563-5163

Schlagwörter: Dirichlet distribution, hidden Markov models, likelihood method, parameter estimation, recursive EM algorithm, stat, info

Relation: http://vu.lvb.lt/VU:ELABAPDB42171064&prefLang=en_US

Verfügbarkeit: http://vu.lvb.lt/VU:ELABAPDB42171064&prefLang=en_US