Kavli Affiliate: Zheng Zhu
| First 5 Authors: Jiang Zhu, Junnan Ma, Zhenlong Liu, Fengzhong Qu, Zheng Zhu
| Summary:
Analog-to-digital converters (ADCs) play a vital important role in any
devices via manipulating analog signals in a digital manner. Given that the
amplitude of the signal exceeds the dynamic range of the ADCs, clipping occurs
and the quality of the digitized signal degrades significantly. In this paper,
we design a joint modulo sampling hardware and processing prototype which
improves the ADCs’ dynamic range by folding the signal before sampling. Both
the detailed design of the hardware and the recovery results of various
state-of-the-art processing algorithms including our proposed unlimited
sampling line spectral estimation (USLSE) algorithm are presented.
Additionally, key issues that arise during implementation are also addressed.
It is demonstrated that the USLSE algorithm successfully recovers the original
signal with a frequency of 2.5 kHz and an amplitude 10 times the ADC’s dynamic
range, and the linear prediction (LP) algorithm successfully recovers the
original signal with a frequency of 3.5 kHz and an amplitude 10 times the ADC’s
dynamic range.
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