Name
Abstract | ||
|---|---|---|
The blind separation of multiple co-channel binary digital signals using an antenna array involves finding a factorization of a data matrix X into X=AS, where all entries of S are +1 or -1. It is shown that this problem can be solved exactly and noniteratively, via a certain generalized eigenvalue decomposition. As indicated by simulations, the algorithm is robust in the presence of noise. An interesting implication is that certain cluster segmentation problems can be solved using eigenvalue techniques |
Year | DOI | Venue |
|---|---|---|
1997 | 10.1109/78.564198 | IEEE Transactions on Signal Processing |
Keywords | Field | DocType |
data engineering,phase shift keying,antenna array,matrix decomposition,exact solution,wireless communication,signal analysis,pulse modulation,eigenvalue decomposition,bpsk,algorithm,eigenvalues,noise,digital signals | Computer science,Artificial intelligence,Blind signal separation,Source separation,Eigenvalues and eigenvectors,Binary number,Mathematical optimization,Pattern recognition,Digital signal,Matrix decomposition,Algorithm,Antenna array,Factorization | Journal |
Volume | Issue | ISSN |
45 | 4 | 1053-587X |
ISBN | Citations | PageRank |
0-7803-4137-6 | 23 | 2.29 |
References | Authors | |
8 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alle-Jan van der Veen | 1 | 495 | 79.07 |
| van der Veen, A.-J. | 2 | 23 | 2.29 |