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
Polynomial Multiple Variance Impulse Response Measurement:
, In:
2022 International Workshop on Acoustic Signal Enhancement (IWAENC)
,
Forti, Riccardo
;
Carini, Alberto
;
Orcioni, Simone
- p. 1-5 , 2022
Link:
https://doi.org/10.1109/IWAENC53105.2022.9914767
RT T1
2022 International Workshop on Acoustic Signal Enhancement (IWAENC)
: T1
Polynomial Multiple Variance Impulse Response Measurement
UL https://suche.suub.uni-bremen.de/peid=ieee-9914767&Exemplar=1&LAN=DE A1 Forti, Riccardo A1 Carini, Alberto A1 Orcioni, Simone YR 2022 K1 Interpolation K1 Maximum likelihood detection K1 Conferences K1 Nonlinear filters K1 Filtering theory K1 Time measurement K1 Acoustics K1 Polynomial multiple variance K1 impulse response K1 Volterra filter SP 1 OP 5 LK http://dx.doi.org/https://doi.org/10.1109/IWAENC53105.2022.9914767 DO https://doi.org/10.1109/IWAENC53105.2022.9914767 SF ELIB - SuUB Bremen
Export
RefWorks (nur Desktop-Version!)
Flow
(Zuerst in
Flow
einloggen, dann importieren)