| dc.contributor.author | WANG, S. | en_US |
| dc.contributor.author | MANTON, J. | en_US |
| dc.date.accessioned | 2014-05-21T22:56:37Z | |
| dc.date.available | 2014-05-21T22:56:37Z | |
| dc.date.issued | 2006 | en_US |
| dc.identifier.uri | http://hdl.handle.net/11343/29350 | |
| dc.language | eng | en_US |
| dc.publisher | IEEE - Institute of Electrical and Electronic Engineers | en_US |
| dc.subject | Artificial Intelligence and Image Processing | en_US |
| dc.title | A Low Complexity Frequency-Domain Approach to SIMO System Identification | en_US |
| dc.type | Conference Paper | en_US |
| melbourne.peerreview | Peer Reviewed | en_US |
| melbourne.affiliation | The University of Melbourne | en_US |
| melbourne.affiliation.department | Electrical and Electronic Engineering | en_US |
| melbourne.source.title | 9th International Conference on Control, Automation, Robotics and Vision. ICARCV '06. | en_US |
| melbourne.publicationid | 127389 | en_US |
| melbourne.elementsid | NA | |
| melbourne.contributor.author | Manton, Jonathan | |
| melbourne.accessrights | This item is currently not available from this repository | |
