Collaborative sources identification in mixed signals via hierarchical sparse modeling
A collaborative framework for detecting the different sources in mixed signals is presented in this paper. The approach is based on C-HiLasso, a convex collaborative hierarchical sparse model, and proceeds as follows. First, we build a structured dictionary for mixed signals by concatenating a set o...
Uloženo v:
| Hlavní autor: | |
|---|---|
| Další autoři: | , , |
| Médium: | article |
| Jazyk: | angličtina |
| Vydáno: |
2011
|
| Témata: | |
| On-line přístup: | https://hdl.handle.net/20.500.12008/41118 https://doi.org/10.48550/arXiv.1010.4893 |
| Tagy: |
Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!
|
Podobné jednotky: Collaborative sources identification in mixed signals via hierarchical sparse modeling
- Teoría computacional de la gestalt. Proyecto: mejoras al detector de alineamientos
- Computing Image Descriptors from Annotations Acquired from External Tools
- Visión artificial de bajo mantenimiento para inspección automática de PCBAs
- Visual Control Of A Robotic Arm
- Incoherent optical image processing with the generalized Hough transform
- Enhanced bacterial wilt resistance in potato through expression of arabidopsis efr and introgression of quantitative resistance from solanum commersonii.