I agree that this site is using cookies. You can find further informations
here
.
X
Login
Merkliste (
0
)
Home
About us
Home About us
Our history
Profile
Press & public relations
Friends
The library in figures
Exhibitions
Projects
Training, internships, careers
Films
Services & Information
Home Services & Information
Lending and interlibrary loans
Returns and renewals
Training and library tours
My Account
Library cards
New to the library?
Download Information
Opening hours
Learning spaces
PC, WLAN, copy, scan and print
Catalogs and collections
Home Catalogs and Collections
Rare books and manuscripts
Digital collections
Subject Areas
Our sites
Home Our sites
Central Library
Law Library (Juridicum)
BB Business and Economics (BB11)
BB Physics and Electrical Engineering
TB Engineering and Social Sciences
TB Economics and Nautical Sciences
TB Music
TB Art & Design
TB Bremerhaven
Contact the library
Home Contact the library
Staff Directory
Open access & publishing
Home Open access & publishing
Reference management: Citavi & RefWorks
Publishing documents
Open Access in Bremen
zur Desktop-Version
Toggle navigation
Merkliste
1 Ergebnisse
1
An Enhanced System for the Detection and Active Cancellatio..:
, In:
2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)
,
Bruschi, V.
;
Cantarini, M.
;
Serafini, L.
... - p. 1-6 , 2023
Link:
https://doi.org/10.1109/MLSP55844.2023.10285939
RT T1 <cTitle>2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)</cTitle>: T1 <Title>An Enhanced System for the Detection and Active Cancellation of Snoring Signals</Title> UL https://suche.suub.uni-bremen.de/peid=ieee-10285939&Exemplar=1&LAN=DE A1 Bruschi, V. A1 Cantarini, M. A1 Serafini, L. A1 Nobili, S. A1 Cecchi, S. A1 Squartini, S. YR 2023 SN 2161-0371 K1 Deep learning K1 Recurrent neural networks K1 Machine learning algorithms K1 Convolution K1 Signal processing algorithms K1 Adaptive filters K1 Filtering algorithms K1 snoring activity detection K1 active snoring cancellation K1 convolutional recurrent neural network K1 adaptive subband algorithm SP 1 OP 6 LK http://dx.doi.org/https://doi.org/10.1109/MLSP55844.2023.10285939 DO https://doi.org/10.1109/MLSP55844.2023.10285939 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)
