Paper: | SPCOM-L7.6 |
Session: | Wireless Sensor Networks |
Time: | Friday, May 19, 15:40 - 16:00 |
Presentation: |
Lecture
|
Topic: |
Signal Processing for Communication: Signal representation, modulation, coding and compression |
Title: |
Distributed Compression in Acoustic Sensor Networks Using Oversampled A/D Conversion |
Authors: |
Olivier Roy, Martin Vetterli, Swiss Federal Institute of Technology Lausanne (EPFL), Switzerland |
Abstract: |
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. |