High-Speed and Time-Interleaved ADCs Using Additive-Neural-Network-Based Calibration for Nonlinear Amplitude and Phase Distortion

Author:

Zhai Danfeng1,Jiang Wenning2ORCID,Jia Xinru1,Lan Jingchao1ORCID,Guo Mingqiang3ORCID,Sin Sai-Weng3ORCID,Ye Fan1ORCID,Liu Qi4ORCID,Ren Junyan1ORCID,Chen Chixiao4ORCID

Affiliation:

1. State Key Laboratory of ASIC and Systems, Fudan University, Shanghai, China

2. Frontier Institute of Chips and Systems, Fudan University, Shanghai, China

3. State-Key Laboratory of Analog and Mixed-Signal VLSI, Institute of Microelectronics, and the Faculty of Science and Technology—ECE, University of Macau, Macao, China

4. State Key Laboratory of ASIC and Systems and the Frontier Institute of Chips and Systems, Fudan University, Shanghai, China

Funder

National Natural Science Foundation of China

Science and Technology Innovation 2030—Major Project

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture

Cited by 5 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. A Background Timing Skew Calibration for Time-Interleaved ADCs Based on Frequency Fitness Genetic Algorithm;IEEE Transactions on Instrumentation and Measurement;2024

2. Advances in nuclear detection and readout techniques;Nuclear Science and Techniques;2023-12

3. A neural network based background calibration for pipelined‐SAR ADCs at low hardware cost;Electronics Letters;2023-08

4. A Convolutional Neural Network Based Calibration Scheme for Pipelined ADC;2023 IEEE International Symposium on Circuits and Systems (ISCAS);2023-05-21

5. A High Accuracy and Bandwidth Digital Background Calibration Technique for Timing Skew in TI-ADCs;IEEE Transactions on Circuits and Systems I: Regular Papers;2023

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