This brief discusses the use of Artificial Intelligence (AI) to manage the operation and
improve the performance of Analog-to-Digital Converters (ADCs) based on Sigma-Delta …

In this paper we introduce an area efficient time-interleaved charge-injection-cell SAR ADC.
The prototype TI-ADC interleaves 8 CIC SAR channels for a sampling rate of 6Gs/s and a …

This paper demonstrates a new neural-network-based calibration technique for inter-
channel mismatches of time-interleaved ADCs. By providing with signal value and derivative …

This article presents a new artificial neural network (ANN)-based calibration mechanism for
analog-to-digital converters (ADCs). The proposed mechanism applies ANN to realize the …

This paper presents a convolutional neural network (CNN) based error calibration scheme
for pipelined ADC. The output of the pipelined ADC is taken as the input data of the network …

This paper introduces low-complexity frequency-dependent (memory) linearizers designed
to suppress nonlinear distortion in analog-to-digital interfaces. Two different linearizers are …

Calibrating ADCs in the absence of ground truth presents a significant challenge for high-
precision applications. This paper addresses this issue by introducing a novel two-step …

This paper introduces a low-complexity memoryless linearizer for suppression of distortion
in analog-to-digital interfaces. It is inspired by neural networks, but has a substantially lower …

This brief discusses the use of Artificial Intelligence (AI) to manage the operation and
improve the performance of Analog-to-Digital Converters (ADCs) based on Sigma-Delta …

This brief discusses the use of Artificial Intelligence (AI) to manage the operation and
improve the performance of Analog-to-Digital Converters (ADCs) based on Sigma-Delta …