Name
Abstract | ||
|---|---|---|
The paper presented a new signal processing technique to accomplish blind source separation when given only a single-channel mixture signal. One signal source can be generated by a set of weighted linear superposition of the time domain sub-band functions with independent component characteristic. By combining the independent sub-band function components into the single-channel mixture signal, making the single-channel mixture signal is transformed into a multi-dimensional vector from one-dimensional. Thus ICA can be applied to separate the extended single-channel mixture signal. The simulation results demonstrated the effectiveness and adaptability of the proposed method. What is more, similitude phase graph is also proposed in this paper, which can show the performance of blind separation algorithm straightly |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ISDA.2006.253922 | ISDA (2) |
Keywords | Field | DocType |
independent sub-band function component,blind separation algorithm straightly,extended single-channel mixture signal,signal processing,new signal processing technique,independent component analysis,single-channel mixture signal,signal source,blind source separation,senor source separation,independent component characteristic,similitude phase graph,time domain sub-band function,time domain | Time domain,Signal processing,Graph,Similitude,Superposition principle,Pattern recognition,Computer science,Independent component analysis,Artificial intelligence,Blind signal separation,Machine learning,Source separation | Conference |
Volume | ISBN | Citations |
2 | 0-7695-2528-8 | 0 |
PageRank | References | Authors |
0.34 | 0 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiefeng Cheng | 1 | 7 | 6.74 |
| Zhaoxia Qu | 2 | 0 | 0.34 |
| Ailing Tan | 3 | 0 | 0.34 |
| Yuehui Chen | 4 | 1167 | 106.13 |
| ZHANG Shao-bai | 5 | 9 | 4.01 |