Name
Abstract | ||
|---|---|---|
This letter deals with a hybrid joint diagonalization problem considering both Hermitian and transpose congruence. Such problem can be encountered in certain noncircular signal analysis applications including blind source separation. We introduce new Jacobi-like algorithms using Givens or a combination of Givens and hyperbolic rotations. These algorithms are compared with state-of-the-art methods ... |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1109/LSP.2018.2868408 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Signal processing algorithms,Matrix decomposition,Standards,Jacobian matrices,Blind source separation,Optimization,Minimization | Signal processing,Transpose,Matrix decomposition,Algorithm,Minification,Blind signal separation,Hermitian matrix,Congruence (geometry),Mathematics,Signal processing algorithms | Journal |
Volume | Issue | ISSN |
25 | 10 | 1070-9908 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Mohamed Nait Meziane | 1 | 0 | 3.04 |
| Karim Abed-Meraim | 2 | 540 | 83.25 |
| Abd-Krim Seghouane | 3 | 193 | 24.99 |
| Ammar Mesloub | 4 | 26 | 2.64 |