Page 1 | Search Results | AIP Publishing

1-6 of 6

Sort by

Sort Order Select

Journal Articles

A fast data-driven method for inverse microphone array signal processing

Can Kayser, Adam Kujawski, Ennes Sarradj

JASA Express Lett. 3, 042401 (2023)

https://doi.org/10.1121/10.0017882

Published: April 2023

View articletitled, A fast data-driven method for inverse microphone array signal processing

Journal Articles

Fast grid-free strength mapping of multiple sound sources from microphone array data using a Transformer architecture

Adam Kujawski, Ennes Sarradj

J. Acoust. Soc. Am. 152, 2543–2556 (2022)

https://doi.org/10.1121/10.0015005

Published: November 2022

View articletitled, Fast grid-free strength mapping of multiple sound sources from microphone array data using a Transformer architecture

Journal Articles

A deep learning method for grid-free localization and quantification of sound sources

Adam Kujawski, Gert Herold, Ennes Sarradj

J. Acoust. Soc. Am. 146, EL225–EL231 (2019)

https://doi.org/10.1121/1.5126020

Published: September 2019

View articletitled, A deep learning method for grid-free localization and quantification of sound sources

Journal Articles

Surface curvature effects on the tonal noise of a wall-mounted finite airfoil

Danielle J. Moreau, Thomas F. Geyer, Con J. Doolan, Ennes Sarradj

J. Acoust. Soc. Am. 143, 3460–3473 (2018)

https://doi.org/10.1121/1.5040981

Published: June 2018

View articletitled, Surface curvature effects on the tonal noise of a wall-mounted finite airfoil

Journal Articles

Finite panel sound radiation through an absorbent layer

Ennes Sarradj

J. Acoust. Soc. Am. 105, 1392 (1999)

https://doi.org/10.1121/1.426582

Published: February 1999

View articletitled, Finite panel sound radiation through an absorbent layer

Journal Articles

‘‘Acoustical modeling’’ according to the theory of the common networks—Taking into account nonlinear effects

Joern Huebelt, Ennes Sarradj

J. Acoust. Soc. Am. 105, 958 (1999)

https://doi.org/10.1121/1.425781

Published: February 1999

View articletitled, ‘‘Acoustical modeling’’ according to the theory of the common networks—Taking into account nonlinear effects

Update search

NARROW

Format

Topics

Subjects

Journal

Article Type

Issue Section

Date

Availability

A fast data-driven method for inverse microphone array signal processing

Fast grid-free strength mapping of multiple sound sources from microphone array data using a Transformer architecture

A deep learning method for grid-free localization and quantification of sound sources

Surface curvature effects on the tonal noise of a wall-mounted finite airfoil

Finite panel sound radiation through an absorbent layer

‘‘Acoustical modeling’’ according to the theory of the common networks—Taking into account nonlinear effects

Resources

Explore

pubs.aip.org

Connect with AIP Publishing

Update search

A fast data-driven method for inverse microphone array signal processing

Fast grid-free strength mapping of multiple sound sources from microphone array data using a Transformer architecture

A deep learning method for grid-free localization and quantification of sound sources

Surface curvature effects on the tonal noise of a wall-mounted finite airfoil

Finite panel sound radiation through an absorbent layer

‘‘Acoustical modeling’’ according to the theory of the common networks—Taking into account nonlinear effects

Resources

Explore

pubs.aip.org

Connect with AIP Publishing

This Feature Is Available To Subscribers Only