Deep Learning Methods for Automotive Radar Signal Processing. (Record no. 28175)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02565nam a22004093i 4500 |
| 001 - CONTROL NUMBER | |
| control field | EBC6685229 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | MiAaPQ |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20240724115222.0 |
| 006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS | |
| fixed length control field | m o d | |
| 007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION | |
| fixed length control field | cr cnu|||||||| |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240724s2021 xx o ||||0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9783736964624 |
| Qualifying information | (electronic bk.) |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| Canceled/invalid ISBN | 9783736974623 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (MiAaPQ)EBC6685229 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (Au-PeEL)EBL6685229 |
| 035 ## - SYSTEM CONTROL NUMBER | |
| System control number | (OCoLC)1262369993 |
| 040 ## - CATALOGING SOURCE | |
| Original cataloging agency | MiAaPQ |
| Language of cataloging | eng |
| Description conventions | rda |
| -- | pn |
| Transcribing agency | MiAaPQ |
| Modifying agency | MiAaPQ |
| 050 #4 - LIBRARY OF CONGRESS CALL NUMBER | |
| Classification number | TK6575 .P749 2021 |
| 082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 616 |
| 100 1# - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Pérez González, Rodrigo. |
| 245 10 - TITLE STATEMENT | |
| Title | Deep Learning Methods for Automotive Radar Signal Processing. |
| 250 ## - EDITION STATEMENT | |
| Edition statement | 1st ed. |
| 264 #1 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Place of production, publication, distribution, manufacture | Göttingen : |
| Name of producer, publisher, distributor, manufacturer | Cuvillier Verlag, |
| Date of production, publication, distribution, manufacture, or copyright notice | 2021. |
| 264 #4 - PRODUCTION, PUBLICATION, DISTRIBUTION, MANUFACTURE, AND COPYRIGHT NOTICE | |
| Date of production, publication, distribution, manufacture, or copyright notice | ©2021. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 1 online resource (137 pages) |
| 336 ## - CONTENT TYPE | |
| Content type term | text |
| Content type code | txt |
| Source | rdacontent |
| 337 ## - MEDIA TYPE | |
| Media type term | computer |
| Media type code | c |
| Source | rdamedia |
| 338 ## - CARRIER TYPE | |
| Carrier type term | online resource |
| Carrier type code | cr |
| Source | rdacarrier |
| 505 0# - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Intro -- 1 Introduction -- 1.1 Goals and Contents of this Work -- 2 Radar Fundamentals -- 2.1 Continuous Wave Radar -- 2.2 Mono-Frequent Continuous Wave Radar -- 2.3 Linear Frequency Modulated Continuous WaveRadar -- 2.4 Chirp Sequence Frequency Modulated ContinuousWave Radar -- 2.5 Target Detection -- 2.6 Phased Arrays -- 2.7 Radar System Considerations -- 3 Machine Learning Fundamentals -- 3.1 Supervised Learning -- 3.2 Artificial Neural Networks -- 3.3 Training of Artificial Neural Networks -- 3.5 Loss Functions -- 3.6 Evaluation Metrics -- 4 Classification of Vulnerable RoadUsers -- 4.1 The Micro-Doppler Effect -- 4.2 Single Frame Vulnerable Road Users Classification -- 4.3 Joint Lidar and Radar Classification System -- 4.4 Concluding Remarks -- 5 Deep Learning Based Radar TargetDetection -- 5.1 Detection in Frequency Domain -- 5.2 Time Domain Detection -- 5.3 Concluding Remarks -- 6 Conclusion -- 6.1 Outlook -- Symbols -- Acronyms -- Bibliography -- Own Publications. |
| 588 ## - SOURCE OF DESCRIPTION NOTE | |
| Source of description note | Description based on publisher supplied metadata and other sources. |
| 590 ## - LOCAL NOTE (RLIN) | |
| Local note | Electronic reproduction. Ann Arbor, Michigan : ProQuest Ebook Central, 2024. Available via World Wide Web. Access may be limited to ProQuest Ebook Central affiliated libraries. |
| 650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name entry element | Radar. |
| 655 #4 - INDEX TERM--GENRE/FORM | |
| Genre/form data or focus term | Electronic books. |
| 776 08 - ADDITIONAL PHYSICAL FORM ENTRY | |
| Relationship information | Print version: |
| Main entry heading | Pérez González, Rodrigo |
| Title | Deep Learning Methods for Automotive Radar Signal Processing |
| Place, publisher, and date of publication | Göttingen : Cuvillier Verlag,c2021 |
| International Standard Book Number | 9783736974623 |
| 797 2# - LOCAL ADDED ENTRY--CORPORATE NAME (RLIN) | |
| Corporate name or jurisdiction name as entry element | ProQuest (Firm) |
| 856 40 - ELECTRONIC LOCATION AND ACCESS | |
| Uniform Resource Identifier | <a href="https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=6685229">https://ebookcentral.proquest.com/lib/orpp/detail.action?docID=6685229</a> |
| Public note | Click to View |
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