| Full text | |
| Author(s): |
Total Authors: 3
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| Affiliation: | [1] Univ Estadual Campinas, Sch Elect & Comp Engn FEEC, BR-13083852 Campinas, SP - Brazil
[2] Fed Univ ABC, Engn Modeling & Appl Social Sci Ctr CECS, Santo Andre, SP - Brazil
Total Affiliations: 2
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| Document type: | Journal article |
| Source: | CIRCUITS SYSTEMS AND SIGNAL PROCESSING; v. 37, n. 1, p. 203-231, JAN 2018. |
| Web of Science Citations: | 1 |
| Abstract | |
In blind channel equalization, the use of criteria from the field of information theoretic learning (ITL) has already proved to be a promising alternative, since the use of the high-order statistics is mandatory in this task. In view of the several existent ITL propositions, we present in this work a detailed comparison of the main ITL criteria employed for blind channel equalization and also introduce a new ITL criterion based on the notion of distribution matching. The analyses of the ITL framework are held by means of comparison with elements of the classical filtering theory and among the studied ITL criteria themselves, allowing a new understanding of the existing ITL framework. The verified connections provide the basis for a comparative performance analysis in four practical scenarios, which encompasses discrete/continuous sources with statistical independence/dependence, and real/complex-valued modulations, including the presence of Gaussian and non-Gaussian noise. The results indicate the most suitable ITL criteria for a number of scenarios, some of which are favorable to our proposition. (AU) | |
| FAPESP's process: | 13/14185-2 - New Methods for Adaptive Equalization Based on Information Theoretic Learning |
| Grantee: | Denis Gustavo Fantinato |
| Support Opportunities: | Scholarships in Brazil - Doctorate |