A GPU-Accelerated Web-Based Synthesis Tool for CT Sigma-Delta Modulators-Reference-Cited by-同舟云学术

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A GPU-Accelerated Web-Based Synthesis Tool for CT Sigma-Delta Modulators

Published:2014-05 Issue:5 Volume:61 Page:1429-1441
ISSN:1549-8328
Container-title:IEEE Transactions on Circuits and Systems I: Regular Papers
language:
Short-container-title:IEEE Trans. Circuits Syst. I

Author:

Bruckner Timon,Zorn Christoph,Anders Jens,Becker Joachim,Mathis Wolfgang,Ortmanns Maurits

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/8919/6805240/06695797.pdf?arnumber=6695797

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. High-Level Topology Synthesis Method for Δ-Σ Modulators via Bi-Level Bayesian Optimization;IEEE Transactions on Circuits and Systems II: Express Briefs;2023-12

2. A 40 kS/sCalibration-Free Incremental △Σ ADC Achieving 104 dB DR and 105.7 dB SFDR;ESSCIRC 2023- IEEE 49th European Solid State Circuits Conference (ESSCIRC);2023-09-11

3. High-Level Design of Sigma-Delta Modulators using Artificial Neural Networks;2023 IEEE International Symposium on Circuits and Systems (ISCAS);2023-05-21

4. On the Use of Artificial Neural Networks for the Automated High-Level Design of $\Sigma\Delta$ Modulators;IEEE Transactions on Circuits and Systems I: Regular Papers;2023

5. Automated Design of Sigma-Delta Converters: From Know-How to AI-assisted Optimization;2022 IEEE 65th International Midwest Symposium on Circuits and Systems (MWSCAS);2022-08-07

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