Open and Collaborative Dataset for the Classification of Operational Transconductance Amplifiers for Switched-Capacitor Applications

Francesco Gagliardi and Michele Dei ()
Additional contact information
Francesco Gagliardi: Department of Information Engineering, University of Pisa, 56122 Pisa, Italy
Michele Dei: Department of Information Engineering, University of Pisa, 56122 Pisa, Italy

Data, 2024, vol. 9, issue 10, 1-15

Abstract: This study introduces a collaborative and open dataset designed to classify operational transconductance amplifiers (OTAs) in switched-capacitor applications. The dataset comprises a diverse collection of OTA designs sourced from the literature, facilitating benchmarking, analysis and innovation in analog and mixed-signal integrated circuit design. Various evaluation methodologies, implemented through a companion Python notebook script, are discussed to assess OTA performances across different operating conditions and specifications. Several Figures of Merit (FoMs) are utilized as performance metrics to achieve significant performance classification. This study also uncovers intriguing behaviors and correlations among FoMs, providing valuable insights into OTA design considerations. By making the dataset openly available on platforms like GitHub, this work encourages collaboration and knowledge sharing within the integrated circuit design community, thereby enhancing transparency, reproducibility and innovation in OTA design research.

Keywords: operational transconductance amplifiers; switched capacitors; figures of merit; state-of-the-art classification; integrated-circuit design; performance analysis (search for similar items in EconPapers)
JEL-codes: C8 C80 C81 C82 C83 (search for similar items in EconPapers)
Date: 2024
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
https://www.mdpi.com/2306-5729/9/10/114/pdf (application/pdf)
https://www.mdpi.com/2306-5729/9/10/114/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jdataj:v:9:y:2024:i:10:p:114-:d:1491535

Access Statistics for this article

Data is currently edited by Ms. Cecilia Yang

More articles in Data from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().