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Achieving high precision in analog in-memory computing systems. [PDF]
Npj Unconv ComputMannocci P +3 more
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A Multimodal CMOS Readout IC for SWIR Image Sensors with Dual-Mode BDI/DI Pixels and Column-Parallel Two-Step Single-Slope ADC. [PDF]
Micromachines (Basel)Zhang Y +6 more
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A near-threshold memristive computing-in-memory engine for edge intelligence. [PDF]
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One-Bit ΣΔ-Encoded Stimulus Generation for On-Chip ADC Test
Journal of Circuits, Systems and Computers, 2020This paper presents an application of the [Formula: see text] modulation technique to the on-chip dynamic test for analog-to-digital converters (ADCs). The required stimulus such as a single- or two-tone signal is encoded into one-bit [Formula: see text] sequence, which is applied to an ADC under test through a driving buffer and a simple low-pass ...
Shakeel Ahmad, Jerzy J. Dabrowski
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Learning From Noisy Labels for MIMO Detection With One-Bit ADCs
IEEE Wireless Communications Letters, 2023This paper presents a data detection method for multiple-input multiple-output systems with one-bit analog-to-digital converters. The basic idea is to learn the likelihood function of the system from training samples. To this end, a training data generation strategy is first proposed, which labels a one-bit received signal with a symbol index ...
Jinsung Park +3 more
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On the Performance of Cell -Free Massive MIMO with One-Bit ADCs and DACs
2019 IEEE/CIC International Conference on Communications in China (ICCC), 2019In this paper, we consider a downlink cell-free massive multiple-input multiple-output (mMIMO) system with conjugate beamforming precoder, where each access point (AP) is equipped with one-bit analog-digital converters (ADCs) and digital-analog converters (DACs) and each user is equipped with one-bit ADCs. Based on the Bussgang decomposition theory, we
Yao Zhang 0016 +4 more
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Low-Complexity MIMO Detection Based on Reinforcement Learning With One-Bit ADCs
IEEE Transactions on Vehicular Technology, 2021This paper proposes a low-complexity reinforcement learning detection (RLD) algorithm for multi-input multi-output systems with one-bit analog-to-digital converters. The proposed algorithm exploits pairs of quantized received signals and detected symbols as training examples to train the likelihood function (LF) of the system.
Tae-Kyoung Kim, Yo-Seb Jeon, Moonsik Min
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Target Detection Performance of Collocated MIMO Radar With One-Bit ADCs
IEEE Signal Processing Letters, 2019It is known that deploying low-resolution (e.g., one-bit) analog-to-digital converters (ADCs) at the receive antennas can reduce the hardware cost and circuit power consumption, especially for large-scale systems. In this context, we investigate the performance of target detection for collocated multiple-input multiple-output (MIMO) radar with one-bit ...
Ziyang Cheng 0001 +2 more
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Deep Learning-based Carrier Frequency Offset Estimation with One-Bit ADCs
2020 IEEE 21st International Workshop on Signal Processing Advances in Wireless Communications (SPAWC), 2020Low resolution architectures are a power efficient solution for high bandwidth communication at millimeter wave and terahertz frequencies. In such systems, carrier synchronization is important yet has not received much attention. In this paper, we develop and analyze deep learning architectures for estimating the carrier frequency of a complex sinusoid
Ryan M. Dreifuerst +3 more
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