Publication
Complex Factor Analysis and Extensions
Mouri Sardarabadi, A. & van der Veen, A-J., 15-Feb-2018, In : IEEE Transactions on Signal Processing. 66, 4, p. 954-967 14 p.Research output: Contribution to journal › Article › Academic › peer-review
Documents
- Complex Factor Analysis and Extensions
Final publisher's version, 763 KB, PDF document
DOI
| Original language | English |
|---|---|
| Pages (from-to) | 954-967 |
| Number of pages | 14 |
| Journal | IEEE Transactions on Signal Processing |
| Volume | 66 |
| Issue number | 4 |
| Publication status | Published - 15-Feb-2018 |
- array signal processing, convergence of numerical methods, covariance matrices, gradient methods, least squares approximations, matrix inversion, Newton method, signal denoising, data covariance matrix, general factor analysis decomposition, noise covariance matrix, multiple data covariance matrices, maximum-likelihood based algorithms, complex factor analysis, array signal processing algorithms, eigenvalue decomposition replacement, Gauss-Newton gradient descent method, nonlinear weighted least squares formulation, block diagonal covariance matrix, sparse covariance matrix, noise covariance matrix structure, uncalibrated array, unknown arbitrary diagonal noise covariance, noise covariance parameters, Covariance matrices, Signal processing algorithms, Data models, Computational modeling, Arrays, Approximation algorithms, Mathematical model, Factor analysis, covariance matching, subspace estimation, maximum-likelihood
Keywords
ID: 73662460