Name
Abstract | ||
|---|---|---|
Many real-life signals can be described in terms of much fewer parameters than the actual number of samples. Such compressible signals can often be represented very compactly with low-rank matrix and tensor models. The authors have adopted this strategy to enable large-scale instantaneous blind source separation. In this paper, we generalize the approach to the blind identification of large-scale ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TSP.2017.2736505 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Tensile stress,Matrix decomposition,Antenna arrays,Brain modeling,Biological system modeling,Arrays,Indexes | Mathematical optimization,Tensor,Spike sorting,Matrix (mathematics),Segmentation,Matrix decomposition,Finite impulse response,System identification,Blind signal separation,Mathematics | Journal |
Volume | Issue | ISSN |
65 | 21 | 1053-587X |
Citations | PageRank | References |
3 | 0.39 | 20 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Martijn Bousse | 1 | 16 | 2.67 |
| Otto Debals | 2 | 50 | 6.55 |
| Lieven De Lathauwer | 3 | 3002 | 226.72 |