Name
Abstract | ||
|---|---|---|
In an underdetermined mixture system with n unknown sources, it is a challenging task to separate these sources from their m observed mixture signals, where m . n. By exploiting the technique of sparse coding, we propose an effective approach to discover some 1-D subspaces from the set consisting of all the time-frequency (TF) representation vectors of observed mixture signals. We show that these ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TNNLS.2016.2610960 | IEEE Transactions on Neural Networks and Learning Systems |
Keywords | Field | DocType |
Encoding,Sparse matrices,Estimation,Blind source separation,Time-frequency analysis,Learning systems,Clustering algorithms | Pattern recognition,Underdetermined system,Neural coding,Computer science,Matrix (mathematics),Sparse approximation,Linear subspace,Artificial intelligence,Cluster analysis,Blind signal separation,Machine learning,Sparse matrix | Journal |
Volume | Issue | ISSN |
28 | 12 | 2162-237X |
Citations | PageRank | References |
4 | 0.40 | 0 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liangli Zhen | 1 | 72 | 9.73 |
| Dezhong Peng | 2 | 285 | 27.92 |
| Zhang Yi | 3 | 512 | 34.06 |
| Yong Xiang | 4 | 1137 | 93.92 |
| Peng Chen | 5 | 4 | 2.43 |