1991
DOI: 10.1109/12.76409
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Arithmetic spectrum applied to fault detection for combinational networks

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Cited by 46 publications
(15 citation statements)
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“…As in refs. [5,9] The testing scheme offered in this paper is an exhaustive testing scheme. Like other exhaustive testing schemes [7,9] the present scheme will work well for combinational network having n ≤ 25, where n is the total number of inputs of the network.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…As in refs. [5,9] The testing scheme offered in this paper is an exhaustive testing scheme. Like other exhaustive testing schemes [7,9] the present scheme will work well for combinational network having n ≤ 25, where n is the total number of inputs of the network.…”
Section: Resultsmentioning
confidence: 99%
“…To obviate the difficulties encountered in the classical schemes of testing digital network, several approaches [2,4,5,7,9] have been subsequently reported in the literature. The transition count testing [4] reduces the storage requirement to a considerable extent, but finding the proper test input sequence is difficult in this technique.…”
Section: Introductionmentioning
confidence: 99%
“…Detailed relations between Arithmetic and Haar functions were given in [24]. Heidtman proposed an approach to derive the signatures for stuck-at faults in irredundant combinational networks by using Arithmetic coefficients of the Arithmetic polynomial expansion [2]. Rahardja and Falkowski [25] have shown that Arithmetic polynomial logic is advantageous over the standard zero polarity Arithmetic transform used by Heidtman in testing.…”
Section: Introductionmentioning
confidence: 99%
“…Two closely related transforms are frequently used in logic design and testing. They are the Reed-Muller transform based on the Galois Field [GF (2)] and the arithmetic transform performed in standard arithmetic [1]- [3], [7], [9], [16], [17], [19], [21]- [23], [26], [28], [39], [41], [42], [45]. The inverse of arithmetic transform when applied directly to the functional data is called an adding transform [10].…”
Section: Introductionmentioning
confidence: 99%