A Power-Efficient Successive Approximation Algorithm for Low-Activity Signals-Reference-Cited by-同舟云学术

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A Power-Efficient Successive Approximation Algorithm for Low-Activity Signals

Published:2023-06-18 Issue: Volume: Page:
ISSN:
Container-title:2023 18th Conference on Ph.D Research in Microelectronics and Electronics (PRIME)
language:
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Author:

Nasiri Hamed¹,Li Cheng¹,Zhang Lihong¹

Affiliation:

1. Memorial University of Newfoundland,Department of Electrical and Computer Engineering,St. John’s,Canada

Funder

Natural Sciences and Engineering Research Council of Canada

Canada Foundation for Innovation

Newfoundland and Labrador

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10161731/10161695/10161935.pdf?arnumber=10161935

Reference12 articles.

1. A 1.8 V 3 GS/s 7-bit time-interleaved Quasi C-2C SAR ADC using voltage-comparator time-information

2. A Low Power 12-bit 1-kS/s SAR ADC for Biomedical Signal Processing

3. Ultra-Low Power SAR ADC Using Statistical Characteristics of Low-Activity Signals

4. A 10 bit SAR ADC With Data-Dependent Energy Reduction Using LSB-First Successive Approximation

5. VLSI circuit layout;zhang;Wiley Encyclopedia of Computer Science and Engineering,2009

Cited by 2 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. Reinforcement-Learning-Based Successive Approximation Algorithm;2024 IEEE International Symposium on Circuits and Systems (ISCAS);2024-05-19

2. A Successive Approximation Algorithm with Machine Learning for ECG Signals;2023 IEEE Biomedical Circuits and Systems Conference (BioCAS);2023-10-19

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