Name
Abstract | ||
|---|---|---|
Subband-based blind source separation has great potential in solving the complicated convolutive mixing problem. However, its performance is largely affected by the permutation ambiguity problem during the synthesis stage. Researchers have suggested methods to correct the permutation by exploiting the correlation information between adjacent frequencies/subbands. An improved solution to this permu... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1049/iet-spr.2011.0015 | IET Signal Processing |
Keywords | Field | DocType |
blind source separation,channel bank filters,optimisation | Mathematical optimization,Pattern recognition,Permutation,Permutation ambiguity,Correlation,Artificial intelligence,Blind signal separation,Mathematics | Journal |
Volume | Issue | ISSN |
6 | 1 | 1751-9675 |
Citations | PageRank | References |
2 | 0.41 | 15 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| bile peng | 1 | 2 | 0.41 |
| Wenxin Liu | 2 | 63 | 11.65 |
| Danilo Mandic | 3 | 1641 | 173.32 |