- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Notes
-
Bremen, Universität Bremen, Dissertation, 2021
- Classification
-
Elektrotechnik, Elektronik
- Keyword
-
Übertragungskanal
Funknetz
Machine to Machine
Komprimierte Abtastung
OFDM
Kognitiver Funk
- Event
-
Veröffentlichung
- (where)
-
Bremen
- (who)
-
Staats- und Universitätsbibliothek Bremen
- (when)
-
2021
- Creator
- Contributor
-
Dekorsy, Armin
Dekorsy, Armin
Sezgin, Aydin
- DOI
-
10.26092/elib/1057
- URN
-
urn:nbn:de:gbv:46-elib52618
- Rights
-
Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
25.03.2025, 1:48 PM CET
Data provider
This object is provided by:
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- Wieruch, Dennis
- Dekorsy, Armin
- Sezgin, Aydin
- Staats- und Universitätsbibliothek Bremen
Time of origin
- 2021
Other Objects (12)
Compressive sensing based dynamic spectrum access for interference-networks
Compressive cyclostationary spectrum sensing with a constant false alarm rate
Compressive cyclostationary spectrum sensing with a constant false alarm rate
Spectrum sensing and interference mitigation in cognitive radio networks
Spectrum sensing and interference mitigation in cognitive radio networks
Compressive sensing and deep learning algorithms for interference mitigation in automotive radar systems
Mathematical aspects of compressive sensing
Empirical modelling of spectrum use and evaluation of adaptive spectrum sensing in dynamic spectrum access networks
Authentication of compressive sensing based image content
Compressive sensing-based data uploading in time-driven public sensing applications
Efficient algorithms and data structures for compressive sensing
Compressive sensing with time-frequency structured random matrices
Compressive sensing based dynamic spectrum access for interference-networks
Compressive cyclostationary spectrum sensing with a constant false alarm rate
Compressive cyclostationary spectrum sensing with a constant false alarm rate
Spectrum sensing and interference mitigation in cognitive radio networks
Spectrum sensing and interference mitigation in cognitive radio networks
Compressive sensing and deep learning algorithms for interference mitigation in automotive radar systems
Mathematical aspects of compressive sensing
Empirical modelling of spectrum use and evaluation of adaptive spectrum sensing in dynamic spectrum access networks
Authentication of compressive sensing based image content
Compressive sensing-based data uploading in time-driven public sensing applications
Efficient algorithms and data structures for compressive sensing
Compressive sensing with time-frequency structured random matrices
Compressive sensing based dynamic spectrum access for interference-networks
Compressive cyclostationary spectrum sensing with a constant false alarm rate
Compressive cyclostationary spectrum sensing with a constant false alarm rate
Spectrum sensing and interference mitigation in cognitive radio networks
Spectrum sensing and interference mitigation in cognitive radio networks
Compressive sensing and deep learning algorithms for interference mitigation in automotive radar systems
Mathematical aspects of compressive sensing
Empirical modelling of spectrum use and evaluation of adaptive spectrum sensing in dynamic spectrum access networks
Authentication of compressive sensing based image content
Compressive sensing-based data uploading in time-driven public sensing applications
Efficient algorithms and data structures for compressive sensing