Name
Title | ||
|---|---|---|
Theoretical Foundations Of Second-Order-Statistics-Based Blind Source Separation For Non-Stationary Sources |
Abstract | ||
|---|---|---|
The aim of "Blind Source Separation" is to recover mutually independent unknown source signals from observations obtained through an unknown linear mixture system. Simultaneous diagonalization of correlation matrices (second-order statistics) of observations is one of the resolutions, when the unknown source signals are non-stationary. Although it is trivial that the true separation matrix simultaneously diagonalizes all the correlation matrices, it is not well investigated whether a simultaneous diagonalizer of the correlation matrices is always a separation matrix. In this paper, we give explicit solutions of simultaneous diagonalizers of the correlation matrices and we also clarify the condition that the solutions always achieve the blind source separation. |
Year | DOI | Venue |
|---|---|---|
2006 | 10.1109/ICASSP.2006.1660725 | 2006 IEEE INTERNATIONAL CONFERENCE ON ACOUSTICS, SPEECH AND SIGNAL PROCESSING, VOLS 1-13 |
Keywords | Field | DocType |
blind source separation,computer science,statistics,educational technology,information science,space technology | Mathematical optimization,Space technology,Matrix algebra,Matrix (mathematics),Statistics,Blind signal separation,Unknown Source,Mathematics,Major stationary source,Independence (probability theory) | Conference |
ISSN | Citations | PageRank |
1520-6149 | 1 | 0.35 |
References | Authors | |
2 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Akira Tanaka | 1 | 38 | 12.20 |
| Hideyuki Imai | 2 | 103 | 25.08 |
| Masaaki Miyakoshi | 3 | 99 | 20.27 |