Method for designing multi-input system identification signals using a compact time-frequency representation
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
1869-5590
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Method for designing multi-input system identification signals using a compact time-frequency representation ; volume:12 ; number:2 ; day:12 ; month:3 ; year:2021 ; pages:291-306 ; date:4.2021
CEAS Aeronautical Journal / Confederation of European Aerospace Societies ; 12, Heft 2 (12.3.2021), 291-306, 4.2021
- Urheber
-
Roeser, Mathias Stefan
Fezans, Nicolas
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1007/s13272-021-00499-6
- URN
-
urn:nbn:de:101:1-2021091106550743436881
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:37 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Roeser, Mathias Stefan
- Fezans, Nicolas
- SpringerLink (Online service)
Ähnliche Objekte (12)
Time-frequency analysis on locally compact groups
Designing Nearly Tight Window for Improving Time-Frequency Masking
Adhoc method to Invert the Reassigned Time-Frequency Representation
A Frequency‐Uniform and Pitch‐Invariant Time‐Frequency Representation
Application of improved time–frequency representation to local noise removal
Degramnet: effective audio analysis based on a fully learnable time–frequency representation
Designing a compact MRI motion phantom
Time-frequency representations
A distinguished deep learning method for gear fault classification using time–frequency representation
Designing and evaluating input techniques for running sports
Representation categories of compact matrix quantum groups
Time-frequency analysis of operators
Time-frequency analysis on locally compact groups
Designing Nearly Tight Window for Improving Time-Frequency Masking
Adhoc method to Invert the Reassigned Time-Frequency Representation
A Frequency‐Uniform and Pitch‐Invariant Time‐Frequency Representation
Application of improved time–frequency representation to local noise removal
Degramnet: effective audio analysis based on a fully learnable time–frequency representation
Designing a compact MRI motion phantom
Time-frequency representations
A distinguished deep learning method for gear fault classification using time–frequency representation
Designing and evaluating input techniques for running sports
Representation categories of compact matrix quantum groups
Time-frequency analysis of operators
Time-frequency analysis on locally compact groups
Designing Nearly Tight Window for Improving Time-Frequency Masking
Adhoc method to Invert the Reassigned Time-Frequency Representation
A Frequency‐Uniform and Pitch‐Invariant Time‐Frequency Representation
Application of improved time–frequency representation to local noise removal
Degramnet: effective audio analysis based on a fully learnable time–frequency representation
Designing a compact MRI motion phantom
Time-frequency representations
A distinguished deep learning method for gear fault classification using time–frequency representation
Designing and evaluating input techniques for running sports
Representation categories of compact matrix quantum groups