Observatorio de I+D+i UPM

Memorias de investigación
Communications at congresses:
Taking advantage of machine learning and pattern recognition in acoustic measurements
Year:2013
Research Areas
  • Engineering
Information
Abstract
Traditionally, acoustics measurement researchers and developers have focused on: a) the development of novel instruments and sensors, trying to improve their accuracy or trying to fix specific problems deriving from specific applications; b) the definition of uncertainty estimation methodologies, either in instruments and testing methods, c) the definition and customization of new measurement indexes. In very recent years, the research lines have been changing, in an attempt to take advantage of new signal processing techniques and solve classical handicaps in acoustic measurements. This is the case, for example, of blind source separation or beamforming. Following this trend, this paper focuses on new acoustic measurement approaches deriving from the application of machine learning and pattern recognition techniques for the development of smart instruments based on the measurement of sound pressure level.
International
Si
Congress
19th IMEKO TC 4 Symposium and 17th IWADC Workshop
960
Place
Barcelona,
Reviewers
Si
ISBN/ISSN
978-162993189-0
Start Date
18/07/2013
End Date
19/07/2013
From page
1
To page
5
Proceeding - Advances in Instrumentation and Sensors Interoperability
Participants
  • Autor: Cesar Asensio Rivera (UPM)
  • Autor: Mariano Ruiz Gonzalez (UPM)
  • Autor: Manuel Recuero Lopez (UPM)
Research Group, Departaments and Institutes related
  • Creador: Grupo de Investigación: Investigación en Instrumentación y Acústica Aplicada (I2A2)
  • Departamento: Ingeniería Mecánica y de Fabricación
  • Departamento: Sistemas Electrónicos y de Control
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