Power-Efficient Sampling: Towards low-power analog-to-digital converters

Analog-to-digital converters (ADCs) facilitate the conversion of analog signals into a digital format. While the specific designs and settings of ADCs can vary depending on the application, it is crucial in many modern applications to minimize the devices’ power consumption. The significance of low-power ADCs is particularly evident in fields like mobile and handheld devices reliant on battery operation. Key parameters that dictate ADCs’ power are the sampling rate, dynamic range (DR), and number of quantization bits. Typically, these parameters are required to be higher than a threshold value but can be reduced by using the structure of the signal and by leveraging preprocessing and the system application needs. In this article, we discuss four approaches relevant to a variety of applications.

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Publication Details

Journal
IEEE Signal Processing Magazine
Published
2025-03-01
DOI
https://doi.org/10.1109/msp.2025.3543669
Citations
2
Primary Topic
Analog and Mixed-Signal Circuit Design
Type
article
Field-Weighted Citation Impact
1.35

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article

Power-Efficient Sampling: Towards low-power analog-to-digital converters

Yonina C. Eldar, Timur Zirtiloglu, Satish Mulleti, Rabia Tugce Yazicigil et al.
2 citations
IEEE Signal Processing Magazine
Analog and Mixed-Signal Circuit Design
1.35
article

Power-Efficient Sampling: Towards low-power analog-to-digital converters

Yonina C. Eldar, Timur Zirtiloglu, Satish Mulleti, Rabia Tugce Yazicigil, Arman Tan
article en
2 citations

Abstract

Analog-to-digital converters (ADCs) facilitate the conversion of analog signals into a digital format. While the specific designs and settings of ADCs can vary depending on the application, it is crucial in many modern applications to minimize the devices’ power consumption. The significance of low-power ADCs is particularly evident in fields like mobile and handheld devices reliant on battery operation. Key parameters that dictate ADCs’ power are the sampling rate, dynamic range (DR), and number of quantization bits. Typically, these parameters are required to be higher than a threshold value but can be reduced by using the structure of the signal and by leveraging preprocessing and the system application needs. In this article, we discuss four approaches relevant to a variety of applications.

IEEE Signal Processing MagazineVol. 42(2)
Boston University (US), Indian Institute of Technology Bombay (IN), Weizmann Institute of Science (IL)
University of Texas at Dallas
Affordable and clean energy
Openalex Percentile: Top 18%
Analog and Mixed-Signal Circuit Design
1.35
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Power-Efficient Sampling: Towards low-power analog-to-digital converters — Yonina C. Eldar, Timur Zirtiloglu, et al. · IEEE Signal Processing Magazine (2025) | TGRS Research Map | TGRS