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doi: 10.7873/DATE.2015.0179
Feature Selection for Alternate Test using Wrappers: Application to an RF LNA Case Study
Manuel J. Barragan1 and Gildas Leger2
1CNRS, TIMA, F-38000 Grenoble, France, Université Grenoble Alpes, TIMA, F-38000 Grenoble, France.
manuel.barragan@imag.fr
2Instituto de Microlectrónica de Sevilla, CSIC-Universidad de Sevilla, Av. Américo Vespucio s/n, 41092 Sevilla, Spain.
leger@imse-cnm.csic.es
ABSTRACT
Testing analog, mixed-signal and RF circuits represents the main cost component for testing complex SoCs. A promising solution to alleviate this cost is the Alternate Test strategy. Alternate test is an indirect test approach that replaces costly specification measurements by simpler signatures. Machine learning techniques are then used to map signatures and performances. One key point that still remains as an open problem is the conception of adequate simple measurement candidates. This work presents efficient algorithms for selecting information rich signatures.
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