Distributed Compression in Acoustic Sensor Networks Using Oversampled A/D Conversion

We address the problem of distributed compression in acoustic sensor networks. A typical scenario consists of a set of microphones that record a sound source located at some unknown position. The goal then is to convey the corresponding audio signals to a central base station for processing. We thus aim at designing efficient distributed communication schemes that minimize the overall bit-rate needed in order to achieve a given reconstruction accuracy. In this paper, we show how the a priori knowledge of the system's geometry can be beneficially used in order to lower the transmission rates. We propose a distributed coding scheme for simple synthetic sources. These results are then applied to more general signals by means of oversampled analog-to-digital conversion. Simulation results confirm the effectiveness of our approach.


Published in:
IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), 4, 165-168
Presented at:
IEEE International Conference on Acoustic, Speech and Signal Processing (ICASSP), Toulouse, France, May 14-19, 2006
Year:
2006
Keywords:
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 Record created 2006-01-21, last modified 2018-03-17

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