Yongjae Park

Orcid: 0000-0002-6093-9330

According to our database1, Yongjae Park authored at least 11 papers between 2019 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
A Low-Noise Low-Power 0.001Hz-1kHz Neural Recording System-on-Chip With Sample-Level Duty-Cycling.
IEEE Trans. Biomed. Circuits Syst., April, 2024

2023
A Low-Noise 0.001Hz-lkHz Sample-Level Duty-Cycling Neural Recording System-on-Chip.
Proceedings of the IEEE International Symposium on Circuits and Systems, 2023

A $\mathbf{160}\times \mathbf{120}$ Indirect Time-of-Flight Sensor with Pixel-Level Adaptive $\Delta\Sigma$-Operations for Background Light Cancellation.
Proceedings of the IEEE Asian Solid-State Circuits Conference, 2023

2022
A CMOS Microelectrode Array System With Reconfigurable Sub-Array Multiplexing Architecture Integrating 24,320 Electrodes and 380 Readout Channels.
IEEE Trans. Biomed. Circuits Syst., December, 2022

A 3.8-µW 1.5-NEF 15-GΩ Total Input Impedance Chopper Stabilized Amplifier With Auto-Calibrated Dual Positive Feedback in 110-nm CMOS.
IEEE J. Solid State Circuits, 2022

A 640×480 Indirect Time-of-Flight Image Sensor with Tetra Pixel Architecture for Tap Mismatch Calibration and Motion Artifact Suppression.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

A 100×80 CMOS Flash LiDAR Sensor with 0.0011mm<sup>2</sup> In-Pixel Histogramming TDC Based on Analog Counter and Self-Calibrated Single-Slope ADC.
Proceedings of the IEEE Symposium on VLSI Technology and Circuits (VLSI Technology and Circuits 2022), 2022

A Reconfigurable Sub-Array Multiplexing Microelectrode Array System With 24, 320 Electrodes and 380 Readout Channels for Investigating Neural Communication.
Proceedings of the IEEE International Solid-State Circuits Conference, 2022

2021
A 3.8-μW/Ch, 15-GΩ Total Input Impedance Chopper Stabilized Amplifier with Dual Positive Feedback Loops and Auto-calibration Scheme.
Proceedings of the 2021 Symposium on VLSI Circuits, Kyoto, Japan, June 13-19, 2021, 2021

2020
A Real-Time Depth of Anesthesia Monitoring System Based on Deep Neural Network With Large EDO Tolerant EEG Analog Front-End.
IEEE Trans. Biomed. Circuits Syst., 2020

2019
Development of Immersive Vehicle Simulator for Aircraft Ground Support Equipment Training as a Vocational Training Program.
Proceedings of the HCI in Mobility, Transport, and Automotive Systems, 2019


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