SCS 2003. International Symposium on Signals, Circuits and Systems. Proceedings (Cat. No.03EX720)
DOI: 10.1109/isqed.2004.1283707
|View full text |Cite
|
Sign up to set email alerts
|

Automated test generation and test point selection for specification test of analog circuits

Abstract: In this paper, a new automated test generation and concurrent test point selection algorithm for specification based testing of analog circuits is presented. The proposed approach co-optimizes the construction of a multi-tone sinusoidal test stimulus and the selection of the best set of test response observation points. The circuit specifications are predicted accurately from the test response using a prior algorithm. This prediction is based on a statistical regression based mapping of the test response wavef… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Publication Types

Select...
6
2

Relationship

0
8

Authors

Journals

citations
Cited by 10 publications
(4 citation statements)
references
References 16 publications
0
4
0
Order By: Relevance
“…The problem of test points selection has already been addressed and solved in many works such as [7] [8]. More specifically, a co-optimization of the input stimuli and the selection of test points is formulated in [18]. However, instead of posing the optimization problem as a maximization of the fault coverage or a minimization of the tests set as it is usually done, the problem is set as a multiobjective optimization :…”
Section: B Optimization Problemmentioning
confidence: 99%
“…The problem of test points selection has already been addressed and solved in many works such as [7] [8]. More specifically, a co-optimization of the input stimuli and the selection of test points is formulated in [18]. However, instead of posing the optimization problem as a maximization of the fault coverage or a minimization of the tests set as it is usually done, the problem is set as a multiobjective optimization :…”
Section: B Optimization Problemmentioning
confidence: 99%
“…Similarly, the simulation models for complicated RF systems are generally very complex and time consuming for repeated Monte Carlo simulations necessary during the alternate test stimulus generation process. Although the use of high-level behavioral device models have been proposed in the past to improve simulation speed, the complexity of these models limit the search space [16] or forces computationally cheaper yet sub-optimal greedy search [17].…”
Section: Motivation and Key Contributionsmentioning
confidence: 99%
“…Unlike other testing approaches where numerous and most appropriate testing points have to be selected, observed, and captured signals processed, [13], the number of OBT test points is one, i.e. the oscillator"s output.…”
Section: Introductionmentioning
confidence: 99%