Name
Title | ||
|---|---|---|
Complex-valued independent vector analysis: Application to multivariate Gaussian model |
Abstract | ||
|---|---|---|
We consider the problem of joint blind source separation of multiple datasets and introduce a solution to the problem for complex-valued sources. We pose the problem in an independent vector analysis (IVA) framework and provide a new general IVA implementation using Wirtinger calculus and a decoupled nonunitary optimization algorithm to facilitate Newton-based optimization. Utilizing the noncircular multivariate Gaussian distribution as a source prior enables the full utilization of the complete second-order statistics available in the covariance and pseudo-covariance matrices. The algorithm provides a principled approach for achieving multiset canonical correlation analysis. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1016/j.sigpro.2011.09.034 | Signal Processing |
Keywords | Field | DocType |
complex-valued independent vector analysis,new general iva implementation,multiset canonical correlation analysis,independent vector analysis,newton-based optimization,full utilization,gaussian model,wirtinger calculus,joint blind source separation,complete second-order statistic,complex-valued source,decoupled nonunitary optimization algorithm | Mathematical optimization,Canonical correlation,Multiset,Matrix (mathematics),Multivariate normal distribution,Optimization algorithm,Independent vector analysis,Blind signal separation,Mathematics,Covariance | Journal |
Volume | Issue | ISSN |
92 | 8 | 0165-1684 |
Citations | PageRank | References |
2 | 0.37 | 26 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Matthew Anderson | 1 | 263 | 14.64 |
| Xi-Lin Li | 2 | 547 | 34.85 |
| Tülay Adalı | 3 | 276 | 14.54 |