S. Ercolani
University of Bologna
7 Papers
270 Citations
S. Ercolani is an academic researcher from University of Bologna. The author has contributed to research in topics: Fault detection and isolation & Testability. The author has an hindex of 4, co-authored 7 publications.
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Papers
Estimate of signal probability in combinational logic networks
S. Ercolani,Michele Favalli,M. Damiani,Piero Olivo,Bruno Ricco +4 more
- 12 Apr 1989
TL;DR: Two methods for the calculation of node signal probabilities in combinational networks are presented, which provide a better accuracy than existing algorithms and a deeper insight in the effects of first-order correlations due to multiple fan-out reconvergences.
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Aliasing in signature analysis testing with multiple input shift registers
TL;DR: An investigation of the properties of multiple input shift registers for signature analysis is presented and accurate simplified expressions of aliasing probability are derived for use as tools in the evaluation of the coverage.
62
Aliasing in signature analysis testing with multiple-input shift-registers
M. Damiani,Piero Olivo,Michele Favalli,S. Ercolani,Bruno Ricco +4 more
- 12 Apr 1989
TL;DR: The authors present a statistical theory that explains the dependence of aliasing probability on the main MISR features, such as length and feedback network, and thus makes it possible to prove criteria for the MISR design.
47
Improved testability evaluations in combinational logic networks
S. Ercolani,Michele Favalli,M. Damiani,Piero Olivo,Bruno Ricco +4 more
- 02 Oct 1989
TL;DR: Two methods for the calculation of fault detection probabilities in combinational networks are presented, providing a better accuracy than existing algorithms and a deeper insight into the effects of first order correlations to multiple fan-out reconvergencies.
2
Weighted pseudorandom generation for built-in self-test
Michele Favalli,S. Ercolani,Marcello Dalpasso,Piero Olivo,Bruno Ricco +4 more
- 13 May 1991
TL;DR: A novel method to obtain weights for weighted pseudorandom built-in self-test (BIST) techniques that can be used to solve the fault coverage problems posed by hard-to-detect faults is presented.
1