Name
Abstract | ||
|---|---|---|
The problem of recovering a structured signal x ∈ Cp from a set of dimensionality-reduced linear measurements b = Ax arises in a variety of applications, such as medical imaging, spectroscopy, Fourier optics, and computerized tomography. Due to computational and storage complexity or physical constraints imposed by the problem, the measurement matrix A ∈ Cn×p is often of the form A = PΩΨ for some ... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/JSTSP.2016.2548442 | IEEE Journal of Selected Topics in Signal Processing |
Keywords | Field | DocType |
Training,Decoding,Optimization,Indexes,Sparse matrices,Training data,Noise measurement | Mathematical optimization,Combinatorial optimization problem,Matrix (mathematics),Computer science,Index set,Omega,Orthonormal basis,Operator (computer programming),Compressed sensing,Sparse matrix | Journal |
Volume | Issue | ISSN |
10 | 4 | 1932-4553 |
Citations | PageRank | References |
3 | 0.37 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Luca Baldassarre | 1 | 220 | 15.49 |
| yenhuan li | 2 | 3 | 0.37 |
| Jonathan Scarlett | 3 | 163 | 31.49 |
| Baran Gozcu | 4 | 12 | 1.57 |
| Ilija Bogunovic | 5 | 29 | 7.33 |
| Volkan Cevher | 6 | 1860 | 141.56 |