Name
Title | ||
|---|---|---|
A theoretical and experimental performance study of a root-MUSIC algorithm based on a real-valued eigendecomposition |
Abstract | ||
|---|---|---|
The algebraic constant modulus algorithm (ACMA) is a noniterative blind source separation algorithm. It computes jointly beamforming vectors for all constant modulus sources as the solution of a joint diagonalization problem. In this paper we analyze ... |
Year | DOI | Venue |
|---|---|---|
2000 | 10.1109/ICASSP.2000.861179 | ICASSP |
Keywords | Field | DocType |
noniterative blind source separation,root-music algorithm,constant modulus source,beamforming vector,real-valued eigendecomposition,joint diagonalization problem,algebraic constant modulus algorithm,experimental performance study,covariance matrix,matrix decomposition,computational complexity,multiple signal classification,symmetric matrices,stress,sparse matrices | Mathematical optimization,Estimation of covariance matrices,Computer science,Matrix decomposition,Algorithm,Unitary state,Root music,Signal classification,Eigendecomposition of a matrix,Covariance matrix,Computational complexity theory | Conference |
ISSN | ISBN | Citations |
1520-6149 | 0-7803-6293-4 | 1 |
PageRank | References | Authors |
0.38 | 6 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| M. Pesavento | 1 | 163 | 11.57 |
| A.B. Gershman | 2 | 2212 | 152.13 |
| M. Haardt | 3 | 495 | 45.19 |