Boni, Andrea and Petri, Dario and Biasi, Ivan (2004) Digital Architectures for Adaptive Processing of Measurement Data. UNSPECIFIED. (Submitted)
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Abstract
In this paper we describe the design of digital architectures suitable for the implementation of measurement data classification based on Support Vector Machines (SVMs). The performance of such architectures are then analyzed. The proposed approach can be applied for solving identification and inverse modelling problems, and for processing complex measurement data. Two very different case studies where real-time processing is of paramount importance are discussed: a nonlinear channel equalization and a high energy physics classification task.
| Item Type: | Departmental Technical Report |
|---|---|
| Department or Research center: | Information Engineering and Computer Science |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7885 Computer Engineering T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.5 Computer Networks T Technology > TK Electrical engineering. Electronics Nuclear engineering |
| Report Number: | DIT-04-061 |
| Repository staff approval on: | 02 Aug 2004 |
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