- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
Ilmenau, TU Ilmenau, Dissertation, 2022
- Schlagwort
-
Algorithms
- Ereignis
-
Veröffentlichung
- (wo)
-
Ilmenau
- (wer)
-
TU Ilmenau
- (wann)
-
2022
- Urheber
- Beteiligte Personen und Organisationen
- URN
-
urn:nbn:de:gbv:ilm1-2022000096
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
25.03.2025, 13:48 MEZ
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
- Semper, Sebastian
- Del Galdo, Giovanni
- Arikan, Orhan
- Spies, Martin
- TU Ilmenau
Entstanden
- 2022
Ähnliche Objekte (12)
Mathematical aspects of compressive sensing
Compressive sensing and deep learning algorithms for interference mitigation in automotive radar systems
Data structures for efficient string algorithms
Authentication of compressive sensing based image content
Compressive sensing-based data uploading in time-driven public sensing applications
Compressive sensing with time-frequency structured random matrices
Key management for compressive sensing based cryptographic mechanisms
The applications of compressive sensing in multi-modal images
Compressive sensing based dynamic spectrum access for interference-networks
Phase transition diagrams in compressive sensing - computation and analysis
Compressive Sensing and Its Applications in Automotive Radar Systems
Applications of compressive sensing to direction of arrival estimation
Mathematical aspects of compressive sensing
Compressive sensing and deep learning algorithms for interference mitigation in automotive radar systems
Data structures for efficient string algorithms
Authentication of compressive sensing based image content
Compressive sensing-based data uploading in time-driven public sensing applications
Compressive sensing with time-frequency structured random matrices
Key management for compressive sensing based cryptographic mechanisms
The applications of compressive sensing in multi-modal images
Compressive sensing based dynamic spectrum access for interference-networks
Phase transition diagrams in compressive sensing - computation and analysis
Compressive Sensing and Its Applications in Automotive Radar Systems
Applications of compressive sensing to direction of arrival estimation
Mathematical aspects of compressive sensing
Compressive sensing and deep learning algorithms for interference mitigation in automotive radar systems
Data structures for efficient string algorithms
Authentication of compressive sensing based image content
Compressive sensing-based data uploading in time-driven public sensing applications
Compressive sensing with time-frequency structured random matrices
Key management for compressive sensing based cryptographic mechanisms
The applications of compressive sensing in multi-modal images
Compressive sensing based dynamic spectrum access for interference-networks
Phase transition diagrams in compressive sensing - computation and analysis
Compressive Sensing and Its Applications in Automotive Radar Systems