Noise Identification for Data-Augmented Physics-Based State-Space Models

J. Duník; O. Straka; O. Kost; S. Tang; T. Imbiriba; P. Closas

doi:10.1109/SiPS62058.2024.00026

Noise Identification for Data-Augmented Physics-Based State-Space Models

J. Duník
, O. Straka
, O. Kost
, S. Tang
, T. Imbiriba
, P. Closas

Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Original language	English
Title of host publication	Proceedings - 2024 IEEE Workshop on Signal Processing Systems, SiPS 2024
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	101-106
Number of pages	6
ISBN (Electronic)	9798350373752
DOIs	https://doi.org/10.1109/SiPS62058.2024.00026
State	Published - 2024
Event	37th IEEE International Workshop on Signal Processing Systems, SiPS 2024 - Cambridge, United States Duration: Nov 4 2024 → Nov 6 2024

Publication series

Name	IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation
ISSN (Print)	1520-6130

Conference

Conference	37th IEEE International Workshop on Signal Processing Systems, SiPS 2024
Country/Territory	United States
City	Cambridge
Period	11/4/24 → 11/6/24

ASJC Scopus Subject Areas

Electrical and Electronic Engineering
Signal Processing
Applied Mathematics
Hardware and Architecture

Keywords

Correlation method
Maximum likelihood method
Neural networks
State estimation

Access to Document

10.1109/SiPS62058.2024.00026

Cite this

Duník, J., Straka, O., Kost, O., Tang, S., Imbiriba, T., & Closas, P. (2024). Noise Identification for Data-Augmented Physics-Based State-Space Models. In Proceedings - 2024 IEEE Workshop on Signal Processing Systems, SiPS 2024 (pp. 101-106). (IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SiPS62058.2024.00026

Noise Identification for Data-Augmented Physics-Based State-Space Models. / Duník, J.; Straka, O.; Kost, O. et al.
Proceedings - 2024 IEEE Workshop on Signal Processing Systems, SiPS 2024. Institute of Electrical and Electronics Engineers Inc., 2024. p. 101-106 (IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Duník, J, Straka, O, Kost, O, Tang, S, Imbiriba, T & Closas, P 2024, Noise Identification for Data-Augmented Physics-Based State-Space Models. in Proceedings - 2024 IEEE Workshop on Signal Processing Systems, SiPS 2024. IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation, Institute of Electrical and Electronics Engineers Inc., pp. 101-106, 37th IEEE International Workshop on Signal Processing Systems, SiPS 2024, Cambridge, United States, 11/4/24. https://doi.org/10.1109/SiPS62058.2024.00026

Duník J, Straka O, Kost O, Tang S, Imbiriba T, Closas P. Noise Identification for Data-Augmented Physics-Based State-Space Models. In Proceedings - 2024 IEEE Workshop on Signal Processing Systems, SiPS 2024. Institute of Electrical and Electronics Engineers Inc. 2024. p. 101-106. (IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation). doi: 10.1109/SiPS62058.2024.00026

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author = "J. Dun{\'i}k and O. Straka and O. Kost and S. Tang and T. Imbiriba and P. Closas",

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AU - Straka, O.

AU - Kost, O.

AU - Tang, S.

AU - Imbiriba, T.

AU - Closas, P.

PY - 2024

Y1 - 2024

KW - Correlation method

KW - Maximum likelihood method

KW - Neural networks

KW - State estimation

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M3 - Conference contribution

AN - SCOPUS:85208390096

T3 - IEEE Workshop on Signal Processing Systems, SiPS: Design and Implementation

SP - 101

EP - 106

BT - Proceedings - 2024 IEEE Workshop on Signal Processing Systems, SiPS 2024

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ER -

Noise Identification for Data-Augmented Physics-Based State-Space Models

Publication series

Conference

ASJC Scopus Subject Areas

Keywords

Access to Document

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Cite this