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Showing results 1 to 10 of 10

Thesis
A Cross-Point PRAM-Based Voltage-Mode Processing-In-Memory Macro with the Gilbert Cell-Based Active Feedback
  • Seongyeon Yu
  • 2024
  • Seongyeon Yu. (2024). A Cross-Point PRAM-Based Voltage-Mode Processing-In-Memory Macro with the Gilbert Cell-Based Active Feedback. doi: 10.22677/THESIS.200000804206
  • DGIST
  • View : 285
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Thesis
A Dual-Path Phase Interpolator with Enhanced Linearity for Clock and Data Recovery
  • Hyeonho Lee
  • 2025
  • DGIST
  • View : 26
  • Download : 0
Thesis
A Duty-Cycled CTDSM with Scalable Bandwidth and Power for ExG Biopotential Acquisition
  • Wooyub Chun
  • 2025
  • Wooyub Chun. (2025). A Duty-Cycled CTDSM with Scalable Bandwidth and Power for ExG Biopotential Acquisition. doi: 10.22677/THESIS.200000846193
  • DGIST
  • View : 451
  • Download : 0
Thesis
A Gain-Boosting Sampling PLL with Time-Interleaved Phase Detector for 6G Communication
  • Minsu Park
  • 2026
  • DGIST
  • View : 20
  • Download : 0
Thesis
A Highly Power-Efficient LDO with Reliable Low Input Voltage Operation
  • Woojin Jang
  • 2024
  • Woojin Jang. (2024). A Highly Power-Efficient LDO with Reliable Low Input Voltage Operation. doi: 10.22677/THESIS.200000723413
  • DGIST
  • View : 82
  • Download : 0
Thesis
A Low-Power IEEE 802.15.4a/z/ab-Compliant IR-UWB Receiver with Linearity Enhanced Techniques for High Blocker Resilience
  • Chansoo Park
  • 2025
  • DGIST
  • View : 25
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Thesis
A Low-Power IEEE 802.15.4a/z/ab-Compliant IR-UWB Transmitter for High Spectrum Utilization and Sidelobe Suppression
  • Jihun Son
  • 2026
  • DGIST
  • View : 23
  • Download : 0
Thesis
A Voltage-Sensing-based Logic-Compatible Embedded NAND Flash Compute-In-Memory Macro for Edge Device
  • Junhyeok Lee
  • 2025
  • DGIST
  • View : 27
  • Download : 0
Thesis
Area-Efficient High-Speed ADCs For Wireline Data Communications
  • Eunki Song
  • 2024
  • Eunki Song. (2024). Area-Efficient High-Speed ADCs For Wireline Data Communications. doi: 10.22677/THESIS.200000803503
  • DGIST
  • View : 273
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Thesis
Exploring Denoising Performance in High-Frequency Neural Spike Reconstruction from Low-Frequency Recordings
  • Kriti Dwivedi
  • 2024
  • Kriti Dwivedi. (2024). Exploring Denoising Performance in High-Frequency Neural Spike Reconstruction from Low-Frequency Recordings. doi: 10.22677/THESIS.200000798147
  • DGIST
  • View : 283
  • Download : 0
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