A Residual-Remainder Coupled Unlimited Sampling Framework for High Dynamic Range Signal Conversion

Zixiang Zhou, Lei Sun*, Hangcheng Han, Juncheng Chen, Bah Hwee Gwee, Zhiping Lin

*此作品的通讯作者

科研成果: 书/报告/会议事项章节会议稿件同行评审

1 引用 (Scopus)

摘要

Clipping distortion is a common problem when the amplitude of input signals exceeds the desired region of an analog-to-digital converter. Unlimited Sensing Framework (USF) alleviates the clipping distortion by folding out-of-range signals into a within-range via modulo operations. The USF signal recovery assumes an infinitesimal residual step time in the modulo operation which is generally practically infeasible. Its recovery error is inevitable due to the remainder sampling error during the residual step transition time. Instead of the infinitesimal assumption, a residual-remainder coupled USF is proposed to eliminate the remainder sampling error by coupling the residual sampling component. It is shown that the proposed coupling framework does not only relax the oversampling rate in the original USF to approaching the Nyquist sampling rate, but also provides a more accurate signal recovery capability as the remainder sampling error is eliminated by the coupling of the residual components.

源语言英语
主期刊名ISCAS 2023 - 56th IEEE International Symposium on Circuits and Systems, Proceedings
出版商Institute of Electrical and Electronics Engineers Inc.
ISBN(电子版)9781665451093
DOI
出版状态已出版 - 2023
活动56th IEEE International Symposium on Circuits and Systems, ISCAS 2023 - Monterey, 美国
期限: 21 5月 202325 5月 2023

出版系列

姓名Proceedings - IEEE International Symposium on Circuits and Systems
2023-May
ISSN(印刷版)0271-4310

会议

会议56th IEEE International Symposium on Circuits and Systems, ISCAS 2023
国家/地区美国
Monterey
时期21/05/2325/05/23

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