Spatial PCM Sampling: A New Method for Sound Recording and Playback

Farina A, Amendola A, Chiesi L, Capra A, Campanini S. Spatial PCM Sampling: A New Method for Sound Recording and Playback. In: AES Conference: 52nd International Conference: Sound Field Control - Engineering and Perception. Audio Engineering Society; 2013. Paper 7-2. Available from: https://aes.org/publications/elibrary-page/?id=16913

@inproceedings{Farina2013_16913,
  author = {Farina, Angelo and Amendola, Alberto and Chiesi, Lorenzo and Capra, Andrea and Campanini, Simone},
  title = {{Spatial PCM Sampling: A New Method for Sound Recording and Playback}},
  booktitle = {AES Conference: 52nd International Conference: Sound Field Control - Engineering and Perception},
  note = {Paper 7-2},
  year = {2013},
  month = sep,
  publisher = {Audio Engineering Society},
  url = {https://aes.org/publications/elibrary-page/?id=16913}
}

TY  - CPAPER
TI  - Spatial PCM Sampling: A New Method for Sound Recording and Playback
AU  - Farina, Angelo
AU  - Amendola, Alberto
AU  - Chiesi, Lorenzo
AU  - Capra, Andrea
AU  - Campanini, Simone
T2  - AES Conference: 52nd International Conference: Sound Field Control - Engineering and Perception
M1  - Paper 7-2
PY  - 2013
DA  - 2013/09/06
UR  - https://aes.org/publications/elibrary-page/?id=16913
PB  - Audio Engineering Society
LA  - en
AB  - This paper presents the mathematical and physical framework of a new technology, named SPS (Spatial PCM Sampling): it is the equivalent, in a two-dimensional spherical-coordinate space, of the traditional PCM representation of a waveform (in the one-dimensional time domain). It is nowadays possible to record an SPS multichannel stream (also called P-format) by processing the signals coming from massive microphone arrays, now widely employed in the broadcasting industry and in research labs. Some types of sound processing are easy when operating on P-format signals; some, indeed, require more work. At playback, it is possible to drive loudspeaker arrays of arbitrary shape and complexity, providing in general better spatial accuracy than competing well known methods, such as Ambisonics or WFS.
ER  -