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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Maurandi, V. De Luigi, C. Moreau, E. |
| Copyright Year | 2013 |
| Description | Author affiliation: ENSAM, Aix Marseille Univ., Marseille, France (Maurandi, V.; De Luigi, C.; Moreau, E.) |
| Abstract | In this paper, we consider the problem of non-orthogonal joint diagonalization of a set of complex symmetric matrices. This appears in many signal processing problems, especially in source separation. We propose three new algorithms based on LU decomposition of the matrix we are looking for and based on a Jacobi like procedure. The algorithms are based on a coupled and a decoupled parameter estimation. Numerical simulations are provided to compare the performances with a similar one existing in the real case and adapted to the complex symmetric case. Finally, we propose a mixed algorithm combining two proposed ones which allows more balanced performances. |
| Starting Page | 1 |
| Ending Page | 5 |
| File Size | 417413 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780992862602 |
| ISSN | 20761465 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2013-09-09 |
| Publisher Place | Morocco |
| Access Restriction | Subscribed |
| Rights Holder | EURASIP |
| Subject Keyword | Jacobian matrices Source Separation Symmetric matrices Source separation Signal processing algorithms Estimation Matrix decomposition Complex Symmetric Matrix Non-Orthogonal Joint Diagonalization Joints |
| Content Type | Text |
| Resource Type | Article |
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