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Time-interleaved Noise-shaping SAR ADC based on CIFF Architecture with Redundancy Error Correction Technique

Published in Journal of Semiconductor Technology and Science (JSTS), 2021

A time-interleaved noise-shaping SAR ADC based on a CIFF architecture with a redundancy error correction technique.

Recommended citation: Kihyun Kim, Jihyun Baek, Jong Hyun Kim, and Hyungil Chae. (2021). "Time-interleaved Noise-shaping SAR ADC based on CIFF Architecture with Redundancy Error Correction Technique." Journal of Semiconductor Technology and Science (JSTS).

A 7-Bit 4-GS/s Quad-Channel Time-Interleaved SAR ADC With 2-Then-1-Bit Cycle Conversion

Published in IEEE Asian Solid-State Circuits Conference (A-SSCC), 2022

A 7-bit 4-GS/s quad-channel time-interleaved SAR ADC with 2-then-1-bit cycle conversion.

Recommended citation: Jihyun Baek, Jong Hyun Kim, Gyuchan Cho, Jintae Kim, and Hyungil Chae. (2022). "A 7-Bit 4-GS/s Quad-Channel Time-Interleaved SAR ADC With 2-Then-1-Bit Cycle Conversion." Proceedings of IEEE Asian Solid-State Circuits Conference (A-SSCC).

A 10-Gbps, 0.121-pJ/bit, All-Digital True Random-Number Generator Using Middle Square Method

Published in IEEE Asian Solid-State Circuits Conference (A-SSCC), 2022

A 10-Gbps, 0.121-pJ/bit, all-digital true random-number generator using the middle square method.

Recommended citation: Jong Hyun Kim and Hyungil Chae. (2022). "A 10-Gbps, 0.121-pJ/bit, All-Digital True Random-Number Generator Using Middle Square Method." Proceedings of IEEE Asian Solid-State Circuits Conference (A-SSCC).

A Multispectral Vision Sensor with Embedded Convolutional Neural Network using Programmable Fractional Weights and nMOS-Only PWM Pixels

Published in IEEE Symposium on VLSI Circuits, Kyoto, Japan, 2025

A multispectral vision sensor with an embedded convolutional neural network using programmable fractional weights and nMOS-only PWM pixels.

Recommended citation: Hyoungjun Kim, Jong Hyun Kim, et al. (2025). "A Multispectral Vision Sensor with Embedded Convolutional Neural Network using Programmable Fractional Weights and nMOS-Only PWM Pixels." IEEE Symposium on VLSI Circuits, Kyoto, Japan.

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