Name
Abstract | ||
|---|---|---|
In this paper, we introduce a wideband dictionary framework for estimating sparse signals. By formulating integrated dictionary elements spanning bands of the considered parameter space, one may efficiently find and discard large parts of the parameter space not active in the signal. After each iteration, the zero-valued parts of the dictionary may be discarded to allow a refined dictionary to be ... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TSP.2018.2835426 | IEEE Transactions on Signal Processing |
Keywords | DocType | Volume |
Dictionaries,Wideband,Frequency estimation,Computational complexity,Estimation,Optimization,Tensile stress | Conference | 66 |
Issue | ISSN | Citations |
16 | 1053-587X | 1 |
PageRank | References | Authors |
0.35 | 0 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Maksim Butsenko | 1 | 1 | 1.03 |
| Johan Sward | 2 | 37 | 11.84 |
| Andreas Jakobsson | 3 | 409 | 43.32 |