Name
Abstract | ||
|---|---|---|
A decoupled relative Newton algorithm is proposed for the matrix optimization problem encountered in blind source separation (BSS) and independent component analysis (ICA). The algorithm decouples the matrix optimization problem into a series of small vector optimization problems. The nonsingularity of separation matrix enables a simple and efficient relative Newton learning algorithm for the vect... |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1109/LSP.2012.2207890 | IEEE Signal Processing Letters |
Keywords | Field | DocType |
Algorithm design and analysis,Vectors,Convergence,Signal processing algorithms,Optimization,Blind source separation | Mathematical optimization,Vector optimization,Matrix (mathematics),Matrix algebra,Algorithm,Newton's method in optimization,Independent component analysis,Blind signal separation,Optimization problem,Mathematics,Newton's method | Journal |
Volume | Issue | ISSN |
19 | 9 | 1070-9908 |
Citations | PageRank | References |
1 | 0.38 | 6 |
Authors | ||
1 | ||