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SPATIO-TEMPORAL SAMPLING AND DISTRIBUTED COMPRESSION OF THE SOUND FIELD
| Content Provider | CiteSeerX |
|---|---|
| Author | Konsbruck, Robert L. Sbaiz, Luciano Telatar, Emre Roy, Olivier Ajdler, Thibaut Vetterli, Martin |
| Abstract | We investigate how the sound field induced by an acoustic event evolves over space and time. The characteristics of its bidimensional Fourier spectrum are analyzed and spatio-temporal sampling results using an array of microphones are provided for different scenarios of interest. We then address the distributed compression problem using an information-theoretic point of view. In this context, optimal rate-distortion tradeoffs are derived for two scenarios of interest. A linear network setup is first considered, where a central base station aims at recovering with minimum distortion the signals recorded by an infinite line of microphones. A hearing aid problem is then studied, where two hearing devices exchange data over a rate-constrained wireless link in order to provide spatial noise reduction. 1. |
| File Format | |
| Access Restriction | Open |
| Subject Keyword | Information-theoretic Point Spatio-temporal Sampling Distributed Compression Device Exchange Data Infinite Line Bidimensional Fourier Spectrum Optimal Rate-distortion Tradeoff Central Base Station Sound Field Linear Network Setup Hearing Aid Problem Distributed Compression Problem Acoustic Event Different Scenario Rate-constrained Wireless Link Minimum Distortion Spatio-temporal Sampling Result Spatial Noise Reduction |
| Content Type | Text |
