Browsing by Titles

Showing results 1 to 8 of 8

  • Jeongyoon Wie
  • 2023
  • Jeongyoon Wie. (2023). An Energy-Efficient Wide-Supply-Range Stimulation System in Standard CMOS Process. doi: 10.22677/THESIS.200000656806
  • DGIST
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  • Sangwoo Jung
  • 2025
  • Sangwoo Jung. (2025). An Energy-scalable and Low-power Inference Hardware for Deep Learning. doi: 10.22677/THESIS.200000844622
  • DGIST
  • View : 178
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  • Eunki Song
  • 2024
  • Eunki Song. (2024). Area-Efficient High-Speed ADCs For Wireline Data Communications. doi: 10.22677/THESIS.200000803503
  • DGIST
  • View : 251
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  • Jeik Choi
  • 2023
  • Jeik Choi. (2023). Dynamic Precision Control of a DNN Training Accelerator Using RISC-V Processor. doi: 10.22677/THESIS.200000655606
  • DGIST
  • View : 424
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  • Yunseong Shim
  • 2024
  • Yunseong Shim. (2024). Equalizer Adaptation Utilizing Data Pattern-Based BBPD. doi: 10.22677/THESIS.200000728627
  • DGIST
  • View : 84
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  • Sangwoo Hwang
  • 2025
  • Sangwoo Hwang. (2025). Hardware-Software Co-design Methodology for Highly-Efficient Operation of Spiking Neural Networks. doi: 10.22677/THESIS.200000841867
  • DGIST
  • View : 238
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  • Seonho Gong
  • 2024
  • Seonho Gong. (2024). High-Speed ADC Design for Wireline Receiver. doi: 10.22677/THESIS.200000725814
  • DGIST
  • View : 82
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  • Taeryoung Seol
  • 2024
  • Taeryoung Seol. (2024). Low Power Recording Systems for Bioelectrical Signal Acquisition. doi: 10.22677/THESIS.200000726078
  • DGIST
  • View : 136
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