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» Fault Detection Likelihood of Test Sequence Length
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ITC
1997
IEEE
129views Hardware» more  ITC 1997»
13 years 9 months ago
On Using Machine Learning for Logic BIST
This paper presents a new approach for designing test sequences to be generated on–chip. The proposed technique is based on machine learning, and provides a way to generate effi...
Christophe Fagot, Patrick Girard, Christian Landra...
ICST
2008
IEEE
13 years 11 months ago
Relationships between Test Suites, Faults, and Fault Detection in GUI Testing
Software-testing researchers have long sought recipes for test suites that detect faults well. In the literature, empirical studies of testing techniques abound, yet the ideal tec...
Jaymie Strecker, Atif M. Memon
TIT
2008
102views more  TIT 2008»
13 years 4 months ago
On Low-Complexity Maximum-Likelihood Decoding of Convolutional Codes
Abstract--This letter considers the average complexity of maximum-likelihood (ML) decoding of convolutional codes. ML decoding can be modeled as finding the most probable path take...
Jie Luo
ICCAD
2000
IEEE
77views Hardware» more  ICCAD 2000»
13 years 9 months ago
Improving the Proportion of At-Speed Tests in Scan BIST
A method to select the lengths of functional sequences in a BIST scheme for scan designs is proposed in this paper. A functional sequence is a sequence of primary input vectors ap...
Yu Huang, Irith Pomeranz, Sudhakar M. Reddy, Janus...
ATS
2000
IEEE
116views Hardware» more  ATS 2000»
13 years 9 months ago
An experimental analysis of spot defects in SRAMs: realistic fault models and tests
: In this paper a complete analysis of spot defects in industrial SRAMs will be presented. All possible defects are simulated, and the resulting electrical faults are transformed i...
Said Hamdioui, A. J. van de Goor