G. N. Lilis, “A Vector Quantization-Based Compression Scheme for Wave Field Synthesis Source Signals,” in Proc. AES Conference: 52nd International Conference: Sound Field Control - Engineering and Perception, Sep. 2013, pp. 9-3:1-8. [Online]. Available: https://aes.org/publications/elibrary-page/?id=16927
Lilis GN. A Vector Quantization-Based Compression Scheme for Wave Field Synthesis Source Signals. In: AES Conference: 52nd International Conference: Sound Field Control - Engineering and Perception. Audio Engineering Society; 2013.pp. 9-3:1-8. Available from: https://aes.org/publications/elibrary-page/?id=16927
@inproceedings{Lilis2013_16927,
author = {Lilis, Georgios N.},
title = {{A Vector Quantization-Based Compression Scheme for Wave Field Synthesis Source Signals}},
booktitle = {AES Conference: 52nd International Conference: Sound Field Control - Engineering and Perception},
pages = {9-3:1-8},
year = {2013},
month = sep,
publisher = {Audio Engineering Society},
url = {https://aes.org/publications/elibrary-page/?id=16927}
}
TY - CPAPER
TI - A Vector Quantization-Based Compression Scheme for Wave Field Synthesis Source Signals
AU - Lilis, Georgios N.
T2 - AES Conference: 52nd International Conference: Sound Field Control - Engineering and Perception
SP - 1
EP - 8
M1 - Paper 9-3
PY - 2013
DA - 2013/09/06
UR - https://aes.org/publications/elibrary-page/?id=16927
PB - Audio Engineering Society
LA - en
AB - This paper introduces a lossy data compression scheme of the signals used for the synthesis of narrow-band virtual point wavefields. The fields are synthesized by a set of distributed point wave sources at fixed locations inside a wave medium. The data compression scheme is implemented using vector quantization. An application example referring the synthesis of a virtual point field, using three point sources, is considered. Its performance is assessed by de ning and calculating a mean distortion measure, for di erent number of quantization levels. Extension to the synthesis of broad-band wave fields of arbitrary shape is straightforward.
ER -