GPU-based fast signal processing for large amounts of snore sound data

Download full text files

  • 72149.pdfeng
    (667KB)

    Postprint. © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Export metadata

Statistics

Number of document requests

Additional Services

Share in Twitter Search Google Scholar
Metadaten
Author:Jian Guo, Kun QianORCiD, Huijie Xu, Christoph Janott, Björn SchullerORCiDGND, Satoshi Matsuoka
URN:urn:nbn:de:bvb:384-opus4-721492
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/72149
ISBN:978-1-5090-2333-2OPAC
Parent Title (English):IEEE 5th Global Conference on Consumer Electronics, 11-14 October 2016, Kyoto, Japan
Publisher:IEEE
Place of publication:Piscataway, NJ
Type:Part of a Book
Language:English
Year of first Publication:2016
Publishing Institution:Universität Augsburg
Release Date:2020/03/12
Pagenumber:2
DOI:https://doi.org/10.1109/GCCE.2016.7800498
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):Deutsches Urheberrecht

OPUS4 Logo