Deep Learning Methods for Automotive Radar Signal Processing:
Gespeichert in:
1. Verfasser: | |
---|---|
Format: | Abschlussarbeit Elektronisch E-Book |
Sprache: | English |
Veröffentlicht: |
Göttingen
CUVILLIER VERLAG
2021
|
Ausgabe: | 1. Auflage |
Schlagworte: | |
Online-Zugang: | FCO01 |
Beschreibung: | 1 Online-Ressource Illustrationen, Diagramme |
ISBN: | 9783736964624 |
Internformat
MARC
LEADER | 00000nmm a2200000 c 4500 | ||
---|---|---|---|
001 | BV047623239 | ||
003 | DE-604 | ||
005 | 00000000000000.0 | ||
006 | a m||| 00||| | ||
007 | cr|uuu---uuuuu | ||
008 | 211202s2021 |||| o||u| ||||||eng d | ||
020 | |a 9783736964624 |9 978-3-7369-6462-4 | ||
035 | |a (OCoLC)1289767313 | ||
035 | |a (DE-599)BVBBV047623239 | ||
040 | |a DE-604 |b ger |e rda | ||
041 | 0 | |a eng | |
049 | |a DE-858 | ||
084 | |a ZN 6500 |0 (DE-625)157567: |2 rvk | ||
084 | |a ELT 730 |2 stub | ||
100 | 1 | |a Pérez Gonzalez, Rodrigo |4 aut | |
245 | 1 | 0 | |a Deep Learning Methods for Automotive Radar Signal Processing |c Rodrigo Pérez Gonzalez |
250 | |a 1. Auflage | ||
264 | 1 | |a Göttingen |b CUVILLIER VERLAG |c 2021 | |
300 | |a 1 Online-Ressource |b Illustrationen, Diagramme | ||
336 | |b txt |2 rdacontent | ||
337 | |b c |2 rdamedia | ||
338 | |b cr |2 rdacarrier | ||
502 | |b Dissertation |c Technische Universität München |d 2021 | ||
650 | 0 | 7 | |a Radarsensor |0 (DE-588)4809985-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Signalverarbeitung |0 (DE-588)4054947-1 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Deep learning |0 (DE-588)1135597375 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Autonomes Fahrzeug |0 (DE-588)7714938-5 |2 gnd |9 rswk-swf |
650 | 0 | 7 | |a Bilderkennung |0 (DE-588)4264283-8 |2 gnd |9 rswk-swf |
655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
689 | 0 | 0 | |a Autonomes Fahrzeug |0 (DE-588)7714938-5 |D s |
689 | 0 | 1 | |a Radarsensor |0 (DE-588)4809985-5 |D s |
689 | 0 | 2 | |a Bilderkennung |0 (DE-588)4264283-8 |D s |
689 | 0 | 3 | |a Signalverarbeitung |0 (DE-588)4054947-1 |D s |
689 | 0 | 4 | |a Deep learning |0 (DE-588)1135597375 |D s |
689 | 0 | |5 DE-604 | |
700 | 1 | |a Biebl, Erwin |0 (DE-588)112609376 |4 dgs | |
776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe |z 978-3-7369-7462-3 |
912 | |a ZDB-30-PQE | ||
999 | |a oai:aleph.bib-bvb.de:BVB01-033007832 | ||
966 | e | |u https://ebookcentral.proquest.com/lib/hs-coburg/detail.action?docID=6685229 |l FCO01 |p ZDB-30-PQE |x Aggregator |3 Volltext |
Datensatz im Suchindex
_version_ | 1804183063683399680 |
---|---|
adam_txt | |
any_adam_object | |
any_adam_object_boolean | |
author | Pérez Gonzalez, Rodrigo |
author_GND | (DE-588)112609376 |
author_facet | Pérez Gonzalez, Rodrigo |
author_role | aut |
author_sort | Pérez Gonzalez, Rodrigo |
author_variant | g r p gr grp |
building | Verbundindex |
bvnumber | BV047623239 |
classification_rvk | ZN 6500 |
classification_tum | ELT 730 |
collection | ZDB-30-PQE |
ctrlnum | (OCoLC)1289767313 (DE-599)BVBBV047623239 |
discipline | Elektrotechnik Elektrotechnik / Elektronik / Nachrichtentechnik |
discipline_str_mv | Elektrotechnik Elektrotechnik / Elektronik / Nachrichtentechnik |
edition | 1. Auflage |
format | Thesis Electronic eBook |
fullrecord | <?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>01952nmm a2200505 c 4500</leader><controlfield tag="001">BV047623239</controlfield><controlfield tag="003">DE-604</controlfield><controlfield tag="005">00000000000000.0</controlfield><controlfield tag="006">a m||| 00||| </controlfield><controlfield tag="007">cr|uuu---uuuuu</controlfield><controlfield tag="008">211202s2021 |||| o||u| ||||||eng d</controlfield><datafield tag="020" ind1=" " ind2=" "><subfield code="a">9783736964624</subfield><subfield code="9">978-3-7369-6462-4</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(OCoLC)1289767313</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(DE-599)BVBBV047623239</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">DE-604</subfield><subfield code="b">ger</subfield><subfield code="e">rda</subfield></datafield><datafield tag="041" ind1="0" ind2=" "><subfield code="a">eng</subfield></datafield><datafield tag="049" ind1=" " ind2=" "><subfield code="a">DE-858</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ZN 6500</subfield><subfield code="0">(DE-625)157567:</subfield><subfield code="2">rvk</subfield></datafield><datafield tag="084" ind1=" " ind2=" "><subfield code="a">ELT 730</subfield><subfield code="2">stub</subfield></datafield><datafield tag="100" ind1="1" ind2=" "><subfield code="a">Pérez Gonzalez, Rodrigo</subfield><subfield code="4">aut</subfield></datafield><datafield tag="245" ind1="1" ind2="0"><subfield code="a">Deep Learning Methods for Automotive Radar Signal Processing</subfield><subfield code="c">Rodrigo Pérez Gonzalez</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">1. Auflage</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Göttingen</subfield><subfield code="b">CUVILLIER VERLAG</subfield><subfield code="c">2021</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 Online-Ressource</subfield><subfield code="b">Illustrationen, Diagramme</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="502" ind1=" " ind2=" "><subfield code="b">Dissertation</subfield><subfield code="c">Technische Universität München</subfield><subfield code="d">2021</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Radarsensor</subfield><subfield code="0">(DE-588)4809985-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Signalverarbeitung</subfield><subfield code="0">(DE-588)4054947-1</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Deep learning</subfield><subfield code="0">(DE-588)1135597375</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Autonomes Fahrzeug</subfield><subfield code="0">(DE-588)7714938-5</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="650" ind1="0" ind2="7"><subfield code="a">Bilderkennung</subfield><subfield code="0">(DE-588)4264283-8</subfield><subfield code="2">gnd</subfield><subfield code="9">rswk-swf</subfield></datafield><datafield tag="655" ind1=" " ind2="7"><subfield code="0">(DE-588)4113937-9</subfield><subfield code="a">Hochschulschrift</subfield><subfield code="2">gnd-content</subfield></datafield><datafield tag="689" ind1="0" ind2="0"><subfield code="a">Autonomes Fahrzeug</subfield><subfield code="0">(DE-588)7714938-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="1"><subfield code="a">Radarsensor</subfield><subfield code="0">(DE-588)4809985-5</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="2"><subfield code="a">Bilderkennung</subfield><subfield code="0">(DE-588)4264283-8</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="3"><subfield code="a">Signalverarbeitung</subfield><subfield code="0">(DE-588)4054947-1</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2="4"><subfield code="a">Deep learning</subfield><subfield code="0">(DE-588)1135597375</subfield><subfield code="D">s</subfield></datafield><datafield tag="689" ind1="0" ind2=" "><subfield code="5">DE-604</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Biebl, Erwin</subfield><subfield code="0">(DE-588)112609376</subfield><subfield code="4">dgs</subfield></datafield><datafield tag="776" ind1="0" ind2="8"><subfield code="i">Erscheint auch als</subfield><subfield code="n">Druck-Ausgabe</subfield><subfield code="z">978-3-7369-7462-3</subfield></datafield><datafield tag="912" ind1=" " ind2=" "><subfield code="a">ZDB-30-PQE</subfield></datafield><datafield tag="999" ind1=" " ind2=" "><subfield code="a">oai:aleph.bib-bvb.de:BVB01-033007832</subfield></datafield><datafield tag="966" ind1="e" ind2=" "><subfield code="u">https://ebookcentral.proquest.com/lib/hs-coburg/detail.action?docID=6685229</subfield><subfield code="l">FCO01</subfield><subfield code="p">ZDB-30-PQE</subfield><subfield code="x">Aggregator</subfield><subfield code="3">Volltext</subfield></datafield></record></collection> |
genre | (DE-588)4113937-9 Hochschulschrift gnd-content |
genre_facet | Hochschulschrift |
id | DE-604.BV047623239 |
illustrated | Not Illustrated |
index_date | 2024-07-03T18:43:27Z |
indexdate | 2024-07-10T09:17:29Z |
institution | BVB |
isbn | 9783736964624 |
language | English |
oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-033007832 |
oclc_num | 1289767313 |
open_access_boolean | |
owner | DE-858 |
owner_facet | DE-858 |
physical | 1 Online-Ressource Illustrationen, Diagramme |
psigel | ZDB-30-PQE |
publishDate | 2021 |
publishDateSearch | 2021 |
publishDateSort | 2021 |
publisher | CUVILLIER VERLAG |
record_format | marc |
spelling | Pérez Gonzalez, Rodrigo aut Deep Learning Methods for Automotive Radar Signal Processing Rodrigo Pérez Gonzalez 1. Auflage Göttingen CUVILLIER VERLAG 2021 1 Online-Ressource Illustrationen, Diagramme txt rdacontent c rdamedia cr rdacarrier Dissertation Technische Universität München 2021 Radarsensor (DE-588)4809985-5 gnd rswk-swf Signalverarbeitung (DE-588)4054947-1 gnd rswk-swf Deep learning (DE-588)1135597375 gnd rswk-swf Autonomes Fahrzeug (DE-588)7714938-5 gnd rswk-swf Bilderkennung (DE-588)4264283-8 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Autonomes Fahrzeug (DE-588)7714938-5 s Radarsensor (DE-588)4809985-5 s Bilderkennung (DE-588)4264283-8 s Signalverarbeitung (DE-588)4054947-1 s Deep learning (DE-588)1135597375 s DE-604 Biebl, Erwin (DE-588)112609376 dgs Erscheint auch als Druck-Ausgabe 978-3-7369-7462-3 |
spellingShingle | Pérez Gonzalez, Rodrigo Deep Learning Methods for Automotive Radar Signal Processing Radarsensor (DE-588)4809985-5 gnd Signalverarbeitung (DE-588)4054947-1 gnd Deep learning (DE-588)1135597375 gnd Autonomes Fahrzeug (DE-588)7714938-5 gnd Bilderkennung (DE-588)4264283-8 gnd |
subject_GND | (DE-588)4809985-5 (DE-588)4054947-1 (DE-588)1135597375 (DE-588)7714938-5 (DE-588)4264283-8 (DE-588)4113937-9 |
title | Deep Learning Methods for Automotive Radar Signal Processing |
title_auth | Deep Learning Methods for Automotive Radar Signal Processing |
title_exact_search | Deep Learning Methods for Automotive Radar Signal Processing |
title_exact_search_txtP | Deep Learning Methods for Automotive Radar Signal Processing |
title_full | Deep Learning Methods for Automotive Radar Signal Processing Rodrigo Pérez Gonzalez |
title_fullStr | Deep Learning Methods for Automotive Radar Signal Processing Rodrigo Pérez Gonzalez |
title_full_unstemmed | Deep Learning Methods for Automotive Radar Signal Processing Rodrigo Pérez Gonzalez |
title_short | Deep Learning Methods for Automotive Radar Signal Processing |
title_sort | deep learning methods for automotive radar signal processing |
topic | Radarsensor (DE-588)4809985-5 gnd Signalverarbeitung (DE-588)4054947-1 gnd Deep learning (DE-588)1135597375 gnd Autonomes Fahrzeug (DE-588)7714938-5 gnd Bilderkennung (DE-588)4264283-8 gnd |
topic_facet | Radarsensor Signalverarbeitung Deep learning Autonomes Fahrzeug Bilderkennung Hochschulschrift |
work_keys_str_mv | AT perezgonzalezrodrigo deeplearningmethodsforautomotiveradarsignalprocessing AT bieblerwin deeplearningmethodsforautomotiveradarsignalprocessing |