Spiking Neural Networks for Event-Driven FMCW Radar Signal Classification:
Gespeichert in:
1. Verfasser: | |
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Format: | Abschlussarbeit Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Erlangen ; Nürnberg
Friedrich-Alexander-Universität Erlangen-Nürnberg
2025
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Schlagworte: | |
Online-Zugang: | Volltext Volltext Volltext Volltext |
Beschreibung: | 1 Online-Ressource (XIII, 122 Seiten) Illustrationen, Diagramme |
DOI: | 10.25593/open-fau-1627 |
Internformat
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Datensatz im Suchindex
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author | Shaaban, Ahmed |
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spelling | Shaaban, Ahmed Verfasser (DE-588)1357903812 aut Spiking Neural Networks for Event-Driven FMCW Radar Signal Classification vorgelegt von Ahmed Shaaban Gepulste neuronale Netze für die Klassifikation ereignisgesteuerter FMCW-Radarsignale Erlangen ; Nürnberg Friedrich-Alexander-Universität Erlangen-Nürnberg 2025 1 Online-Ressource (XIII, 122 Seiten) Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Dissertation Friedrich-Alexander-Universität Erlangen-Nürnberg 2025 Archivierung/Langzeitarchivierung gewährleistet DE-101 pdager 3\p Radarsensor (DE-588)4809985-5 gnd 4\p Frequenzmodulation (DE-588)4155410-3 gnd 5\p Neuronales Netz (DE-588)4226127-2 gnd 6\p Dauerstrichradar (DE-588)4148921-4 gnd 7\p Signalverarbeitung (DE-588)4054947-1 gnd 8\p Deep Learning (DE-588)1135597375 gnd (DE-588)4113937-9 Hochschulschrift gnd-content https://open.fau.de/handle/openfau/34960 Verlag kostenfrei Volltext https://doi.org/10.25593/open-fau-1627 Verlag kostenfrei Volltext https://nbn-resolving.org/urn:nbn:de:101:1-2502211154090.758228799223 Resolving-System kostenfrei Volltext https://d-nb.info/1357142056/34 Langzeitarchivierung Nationalbibliothek kostenfrei Volltext 1\p emakn 0,72070 20250222 DE-101 https://d-nb.info/provenance/plan#emakn 2\p emasg 0,51474 20250222 DE-101 https://d-nb.info/provenance/plan#emasg 3\p emagnd 0,32134 20250222 DE-101 https://d-nb.info/provenance/plan#emagnd 4\p emagnd 0,28360 20250222 DE-101 https://d-nb.info/provenance/plan#emagnd 5\p emagnd 0,14325 20250222 DE-101 https://d-nb.info/provenance/plan#emagnd 6\p emagnd 0,12627 20250222 DE-101 https://d-nb.info/provenance/plan#emagnd 7\p emagnd 0,11665 20250222 DE-101 https://d-nb.info/provenance/plan#emagnd 8\p emagnd 0,10644 20250222 DE-101 https://d-nb.info/provenance/plan#emagnd |
spellingShingle | Shaaban, Ahmed Spiking Neural Networks for Event-Driven FMCW Radar Signal Classification 3\p Radarsensor (DE-588)4809985-5 gnd 4\p Frequenzmodulation (DE-588)4155410-3 gnd 5\p Neuronales Netz (DE-588)4226127-2 gnd 6\p Dauerstrichradar (DE-588)4148921-4 gnd 7\p Signalverarbeitung (DE-588)4054947-1 gnd 8\p Deep Learning (DE-588)1135597375 gnd |
subject_GND | (DE-588)4809985-5 (DE-588)4155410-3 (DE-588)4226127-2 (DE-588)4148921-4 (DE-588)4054947-1 (DE-588)1135597375 (DE-588)4113937-9 |
title | Spiking Neural Networks for Event-Driven FMCW Radar Signal Classification |
title_alt | Gepulste neuronale Netze für die Klassifikation ereignisgesteuerter FMCW-Radarsignale |
title_auth | Spiking Neural Networks for Event-Driven FMCW Radar Signal Classification |
title_exact_search | Spiking Neural Networks for Event-Driven FMCW Radar Signal Classification |
title_full | Spiking Neural Networks for Event-Driven FMCW Radar Signal Classification vorgelegt von Ahmed Shaaban |
title_fullStr | Spiking Neural Networks for Event-Driven FMCW Radar Signal Classification vorgelegt von Ahmed Shaaban |
title_full_unstemmed | Spiking Neural Networks for Event-Driven FMCW Radar Signal Classification vorgelegt von Ahmed Shaaban |
title_short | Spiking Neural Networks for Event-Driven FMCW Radar Signal Classification |
title_sort | spiking neural networks for event driven fmcw radar signal classification |
topic | 3\p Radarsensor (DE-588)4809985-5 gnd 4\p Frequenzmodulation (DE-588)4155410-3 gnd 5\p Neuronales Netz (DE-588)4226127-2 gnd 6\p Dauerstrichradar (DE-588)4148921-4 gnd 7\p Signalverarbeitung (DE-588)4054947-1 gnd 8\p Deep Learning (DE-588)1135597375 gnd |
topic_facet | Radarsensor Frequenzmodulation Neuronales Netz Dauerstrichradar Signalverarbeitung Deep Learning Hochschulschrift |
url | https://open.fau.de/handle/openfau/34960 https://doi.org/10.25593/open-fau-1627 https://nbn-resolving.org/urn:nbn:de:101:1-2502211154090.758228799223 https://d-nb.info/1357142056/34 |
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