Name
Abstract | ||
|---|---|---|
Although the Z-domain precoding method for blind separation of spatially correlated sources is proved reliable in theory, it has disadvantages in its implementation since it requires knowledge of precoder zeros at the receiver beforehand. A new method is proposed in this article to find these precoder zeros and estimate the separation vectors of the coded signals at the same time by exploiting the second order statistics feature of the sources and the Z-domain property of the precoders. Compared with the original algorithm, the new method allows the precoder zeros to change and guarantees less bandwidth consumption. Simulation results illustrate the efficiencies of the proposed method. |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/CSE-EUC.2017.24 | 2017 IEEE International Conference on Computational Science and Engineering (CSE) and IEEE International Conference on Embedded and Ubiquitous Computing (EUC) |
Keywords | Field | DocType |
improved precoding method,blind separation,spatially correlated signals,Z-domain precoding method,spatially correlated sources,precoder zeros,separation vectors,coded signals,second order statistics feature | Computer science,Algorithm,Theoretical computer science,Bandwidth (signal processing),Precoding,Distributed computing | Conference |
Volume | ISSN | ISBN |
1 | 1949-0828 | 978-1-5386-3222-2 |
Citations | PageRank | References |
0 | 0.34 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liu Yang | 1 | 0 | 0.34 |
| Shaohong Zhang | 2 | 68 | 8.92 |
| Zu-yuan Yang | 3 | 312 | 24.12 |