Name
Abstract | ||
|---|---|---|
We investigate how the sound field induced by an acoustic event evolves over space and time. The characteristics of its bidimen- sional 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 con- text, optimal rate-distortion tradeoffs are derived for two scenarios of interest. A linear network setup is first considered, where a cen- tral 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. |
Year | Venue | Field |
|---|---|---|
2006 | EUSIPCO | Noise reduction,Compression (physics),Base station,Wireless,Computer science,Spacetime,Sound field,Sampling (statistics),Acoustics,Distortion |
DocType | Citations | PageRank |
Conference | 1 | 0.37 |
References | Authors | |
8 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Thibaut Ajdler | 1 | 24 | 7.12 |
| Robert L. Konsbruck | 2 | 24 | 4.08 |
| Olivier Roy | 3 | 48 | 6.18 |
| Luciano Sbaiz | 4 | 84 | 11.42 |
| Emre Telatar | 5 | 3561 | 832.36 |
| Martin Vetterli | 6 | 13926 | 2397.68 |