Compressive Sampling of Sound Fields Using Moving Microphones


For conventional sampling of sound-fields, the measurement in space by use of stationary microphones is impractical for high audio frequencies. Satisfying the Nyquist-Shannon sampling theorem requires a huge number of sampling points and entails other difficulties, such as the need for exact calibration and spatial positioning of a large number of microphones. Dynamic sound-field measurements involving tracked microphones may weaken this spatial sampling problem. However, for aliasing-free reconstruction, there is still the need of sampling a huge number of unknown sound-field variables. Thus in real-world applications, the trajectories may be expected to lead to underdetermined sampling problems. In this paper, we present a compressed sensing framework that allows for stable and robust sub-Nyquist sampling of sound fields by use of moving microphones.
Titel2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Herausgeber (Verlag)IEEE
ISBN (Print)978-1-5386-4659-5
ISBN (elektronisch)978-1-5386-4658-8
PublikationsstatusVeröffentlicht - 01.04.2018
Veranstaltung2018 IEEE International Conference on Acoustics, Speech, and Signal Processing - Calgary Telus Convention Center, Calgary, Kanada
Dauer: 15.04.201820.04.2018


Untersuchen Sie die Forschungsthemen von „Compressive Sampling of Sound Fields Using Moving Microphones“. Zusammen bilden sie einen einzigartigen Fingerprint.