Zobrazeno 1 - 10
of 23
pro vyhledávání: '"David Morata"'
Autor:
David Morata, Dimitri Papamoschou
Publikováno v:
AIAA Journal. 61:429-443
The paper adapts the delay-and-sum beamforming method and related deconvolution techniques for microphone phased arrays comprising fixed and continuously scanning sensors. Processing of the nonstationary signals introduced by the scanning sensors req
Publikováno v:
AIAA SCITECH 2023 Forum.
Publikováno v:
28th AIAA/CEAS Aeroacoustics 2022 Conference.
Autor:
David Morata, Dimitri Papamoschou
Publikováno v:
AIAA SCITECH 2022 Forum.
Autor:
David Morata, Dimitri Papamoschou
Publikováno v:
Journal of Sound and Vibration. 537:117205
Autor:
Dimitri Papamoschou, David Morata
Publikováno v:
AIAA AVIATION 2021 FORUM.
Publikováno v:
AIAA Journal. 57:5126-5141
The paper presents a methodology for the direct estimation of the spatiospectral distribution of an acoustic source from microphone measurements that comprise fixed and continuously scanning sensor...
Autor:
David Morata, Dimitri Papamoschou
Publikováno v:
AIAA Scitech 2021 Forum.
Author(s): Morata Carranza, David | Advisor(s): Papamoschou, Dimitri | Abstract: The present study is related to the field of imaging of aeroacoustic noise sources. Traditional techniques include the use of phased microphone arrays and acoustic beamf
Publikováno v:
2018 AIAA/CEAS Aeroacoustics Conference.
Autor:
Laura Pérez-Cervera, Silvia De Santis, Encarni Marcos, Zahra Ghorbanzad-Ghaziany, Alejandro Trouvé-Carpena, Mohamed Kotb Selim, Úrsula Pérez-Ramírez, Simone Pfarr, Patrick Bach, Patrick Halli, Falk Kiefer, David Moratal, Peter Kirsch, Wolfgang H. Sommer, Santiago Canals
Publikováno v:
Acta Neuropathologica Communications, Vol 11, Iss 1, Pp 1-21 (2023)
Abstract Introduction Alcohol dependence is characterized by a gradual reduction in cognitive control and inflexibility to contingency changes. The neuroadaptations underlying this aberrant behavior are poorly understood. Using an animal model of alc
Externí odkaz:
https://doaj.org/article/65b6d48346d14af499c28553f7d418c1