Automatic behavioral model generator for mixed-signal circuits based on structure recognition and auto-calibration

Jian Yu Chen, Shiou Wen Wang, Ching Ho Lin, Chien-Nan Liu, Yun Jing Lin, Meng Jung Lee, You Lan Luo, Shu Yi Kao

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

7 Scopus citations


Building the behavioral model for each circuit block is an efficient approach for mixed-signal system verification. If an automatic model generator is available to extract the required behavioral model from the given circuit netlist, it is useful for designers to reduce the extra efforts. Instead of modeling the relationship between circuit inputs and outputs directly, this paper proposes a divide and conquer approach to alleviate the difficulty on building behavioral models. By dividing the circuit into several small building blocks, it is much easier to model the behavior of each block by the black-box approach Therefore, the model construction efforts can be greatly reduced without losing the generality for different circuits. As shown in the experimental results, the proposed approach does generate the corresponding behavioral models automatically with good accuracy.

Original languageEnglish
Title of host publicationISOCC 2015 - International SoC Design Conference
Subtitle of host publicationSoC for Internet of Everything (IoE)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages2
ISBN (Electronic)9781467393089
StatePublished - 8 Feb 2016
Event12th International SoC Design Conference, ISOCC 2015 - Gyeongju, Korea, Republic of
Duration: 2 Nov 20155 Nov 2015

Publication series

NameISOCC 2015 - International SoC Design Conference: SoC for Internet of Everything (IoE)


Conference12th International SoC Design Conference, ISOCC 2015
Country/TerritoryKorea, Republic of


  • behavioral model
  • mixed-signal circuit
  • model generator


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