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2009 IEEE International Symposium on Circuits and Systems 2009
DOI: 10.1109/iscas.2009.5118182
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Low peak power ATPG for n-detection test

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Cited by 9 publications
(2 citation statements)
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“…The category contains various methods adopted to minimize the power consumption during external testing by ATE and depending on the number of transitions in test data set. [3] offer a heuristic method to produce a test sequences which create worst-case power droop by increasing the high-and low-frequency effects using a dynamically restrict to version of the classical D-algorithm for test generation. A novel scan chain division algorithm [4] analyzes the signal dependencies and creates the circuit partitions such that both shift and capture power can be reduced when using the existing ATPG flows.…”
Section: Iitesting Phenomena On Low Power Technologymentioning
confidence: 99%
“…The category contains various methods adopted to minimize the power consumption during external testing by ATE and depending on the number of transitions in test data set. [3] offer a heuristic method to produce a test sequences which create worst-case power droop by increasing the high-and low-frequency effects using a dynamically restrict to version of the classical D-algorithm for test generation. A novel scan chain division algorithm [4] analyzes the signal dependencies and creates the circuit partitions such that both shift and capture power can be reduced when using the existing ATPG flows.…”
Section: Iitesting Phenomena On Low Power Technologymentioning
confidence: 99%
“…A novel scan chain division algorithm [7] analyzes the signal dependencies and creates the circuit partitions such that both shift and capture power can be reduced when using the existing ATPG flows. Reference [8] presents a low capture power ATPG and a power-aware test compaction method. This ATPG lowers the growth of test pattern count compared to the detection number n. The peak power becomes smaller as the detection number n increases.…”
Section: Low-power Atpg Algorithmsmentioning
confidence: 99%