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| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Trasapong Thaiupathump | en_US |
| dc.contributor.author | Lin He | en_US |
| dc.contributor.author | Saleem A. Kassam | en_US |
| dc.date.accessioned | 2018-09-11T08:55:52Z | - |
| dc.date.available | 2018-09-11T08:55:52Z | - |
| dc.date.issued | 2006-11-01 | en_US |
| dc.identifier.issn | 01651684 | en_US |
| dc.identifier.other | 2-s2.0-33748297732 | en_US |
| dc.identifier.other | 10.1016/j.sigpro.2006.02.035 | en_US |
| dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=33748297732&origin=inward | en_US |
| dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/61604 | - |
| dc.description.abstract | A new algorithm for blind equalization is introduced. The square contour algorithm (SCA) minimizes dispersion of equalizer output from a square. The SCA combines the advantages of the generalized Sato algorithm (GSA) and the constant modulus algorithm (CMA). It includes phase recovery and offers good convergence characteristics. By adding a constellation-matched error (CME) term to the cost function of the SCA, a modified SCA (MSCA) is obtained. The MSCA improves equalizer convergence performance. Simulations and analysis demonstrate the good performance of the proposed algorithms. © 2006 Elsevier B.V. All rights reserved. | en_US |
| dc.subject | Computer Science | en_US |
| dc.subject | Engineering | en_US |
| dc.title | Square contour algorithm for blind equalization of QAM signals | en_US |
| dc.type | Journal | en_US |
| article.title.sourcetitle | Signal Processing | en_US |
| article.volume | 86 | en_US |
| article.stream.affiliations | Chiang Mai University | en_US |
| article.stream.affiliations | University of Pennsylvania | en_US |
| Appears in Collections: | CMUL: Journal Articles | |
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