The trapezoidal method of steepest-descent and its application to adaptive filtering
| aut.researcher | Moir, Tom | |
| dc.contributor.author | Moir, TJ | |
| dc.date.accessioned | 2011-06-09T02:03:03Z | |
| dc.date.available | 2011-06-09T02:03:03Z | |
| dc.date.copyright | 2010 | |
| dc.date.issued | 2010 | |
| dc.description.abstract | The method of steepest-descent is re-visited in continuous time. It is shown that the continuous time version is a vector differential equation the solution of which is found by integration. Since numerical integration has many forms, we show an alternative to the conventional solution by using a Trapezoidal integration solution. This in turn gives a slightly modified least-mean squares (LMS) algorithm. | |
| dc.identifier.citation | The Open Signal Processing Journal, vol.3, pp.1 - 5 | |
| dc.identifier.doi | 10.2174/1876825301003010001 | |
| dc.identifier.issn | 1876-8253 (print) | |
| dc.identifier.uri | https://hdl.handle.net/10292/1247 | |
| dc.publisher | Bentham Science Publishers | |
| dc.relation.uri | http://dx.doi.org/10.2174/1876825301003010001 | |
| dc.rights | © Bentham Science Publishing 2010. All Rights Reserved (http://www.benthamscience.com). Authors retain the right to place his/her pre-publication (post-print) version of the work on a personal website or institutional repository (please see Citation and Publisher’s Version). | |
| dc.rights.accessrights | OpenAccess | |
| dc.subject | Steepest-Descent | |
| dc.subject | Least-mean squares (LMS) | |
| dc.subject | Adaptive filters | |
| dc.title | The trapezoidal method of steepest-descent and its application to adaptive filtering | |
| dc.type | Journal Article | |
| pubs.organisational-data | /AUT | |
| pubs.organisational-data | /AUT/Design & Creative Technologies |