Convolutional compaction-driven diagnosis of scan failures

摘要

This paper describes a fault diagnosis technique for scan-based designs with convolutional test response compaction. The proposed approach allows a time-efficient and accurate identification of failing scan cells using Gauss Jordan elimination method.