Name
Title | ||
|---|---|---|
Coupled Canonical Polyadic Decompositions and Multiple Shift Invariance in Array Processing. |
Abstract | ||
|---|---|---|
The canonical polyadic decomposition (CPD) plays an important role for signal separation in array processing. The CPD model requires arrays composed of several displaced but identical subarrays. Consequently, it is less appropriate for more complex array geometries. In this paper, we explain that coupled CPD allows a much more flexible modeling that can handle multiple shift-invariance structures,... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/TSP.2018.2835423 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
Tensile stress,Array signal processing,Geometry,Sensor arrays,Antenna arrays,Writing | Uniqueness,Applied mathematics,Mathematical optimization,Array processing,Algebraic geometry,Invariant (physics),Identifiability,Eigendecomposition of a matrix,Separation problem,Mathematics | Journal |
Volume | Issue | ISSN |
66 | 14 | 1053-587X |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mikael Sørensen | 1 | 80 | 10.55 |
| Ignat Domanov | 2 | 101 | 7.58 |
| Lieven De Lathauwer | 3 | 3002 | 226.72 |