Erev, Wallsten, and Budescu (1994) and Budescu, Erev, and Wallsten (1997) demonstrated that over-and undercon®dence often observed in judgment studies may be due, in part, to the presence of random error and its eects on the analysis of the judgments. To illustrate this fact they showed that a ge
The probability of error detection in sequential circuits using random test vectors
✍ Scribed by Asad A. Ismaeel; Melvin A. Breuer
- Publisher
- Springer US
- Year
- 1991
- Tongue
- English
- Weight
- 836 KB
- Volume
- 1
- Category
- Article
- ISSN
- 0923-8174
No coin nor oath required. For personal study only.
✦ Synopsis
In this article a method is presented for evaluating the probability of detecting (PD) a single stuck-fault in a sequential circuit as a function of the number of random input test vectors. A discrete parameter Markovmodel is used in the analysis to obtain closed-form expressions for PD. The circuit is partitioned into three parts, the input and output combinational logic and the memory. The analysis is based upon the stationary-state transition matrix associated with a circuit, and the probability that a fault in one of the partitions produces an error at the output of that partition when a random input vector is applied. Results are presented to show how this problem can be reduced to that of testing an equivalent combinational circuit.
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