Name
Abstract | ||
|---|---|---|
In last two decades, many researchers have been involved in acoustic tomography applications. Recently, few algorithms have been dedicated to the passive acoustic tomography applications in a single input single output channel. Unfortunately, most of these algorithms can not be applied in a real situation when we have a Multi-Input Multi-Output channel. In this paper, we propose at first a realistic model of an underwater acoustic channel, then a general structure to separate acoustic signals crossing an underwater channel is proposed. Concerning ICA algorithms, many algorithms have been implemented and tested but only two algorithms give us good results. The latter algorithms minimize two different second order statistic criteria in the frequency domain. Finally, some simulations have been presented and discussed. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1007/11679363_23 | ICA |
Keywords | Field | DocType |
separate acoustic,frequency domain,ica algorithm,multi-input multi-output channel,single output channel,passive acoustic tomography application,underwater acoustic signal,blind separation,underwater channel,acoustic tomography application,single input,underwater acoustic channel,independent component analysis,underwater acoustics | Frequency domain,Signal processing,Computer science,Algorithm,Underwater acoustics,Communication channel,Tomography,Speech recognition,Blind signal separation,Source separation,Distributed computing,Underwater | Conference |
Volume | ISSN | ISBN |
3889 | 0302-9743 | 3-540-32630-8 |
Citations | PageRank | References |
2 | 0.52 | 7 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ali Mansour | 1 | 245 | 33.79 |
| Nabih Benchekroun | 2 | 2 | 0.52 |
| Cedric Gervaise | 3 | 3 | 2.64 |