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.
Original languageEnglish
Title of host publication2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
Number of pages5
Publication date01.04.2018
ISBN (Print)978-1-5386-4659-5
ISBN (Electronic)978-1-5386-4658-8
Publication statusPublished - 01.04.2018
Event2018 IEEE International Conference on Acoustics, Speech, and Signal Processing - Calgary Telus Convention Center, Calgary, Canada
Duration: 15.04.201820.04.2018


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