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Showing results 1 to 4 of 4

Article
A 1-v 4.6-mw/channel fully differential neural recording front-end ic with current-controlled pseudoresistor in 0.18-mm cmos
  • Lee, Taeju ; 
  • Hong, Soonyoung ; 
  • Jung, Chongsoo ; 
  • Lee, Junghyup ; 
  • Je, Minkyu
  • 2019-02
  • Lee, Taeju. (2019-02). A 1-v 4.6-mw/channel fully differential neural recording front-end ic with current-controlled pseudoresistor in 0.18-mm cmos. doi: 10.5573/JSTS.2019.19.1.030
  • Institute of Electronics Engineers of Korea
  • View : 963
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Article
A 1.0 V, 5.4 pJ/bit GFSK Demodulator Based on an Injection Locked Ring Oscillator for Low-IF Receivers
  • Hong, Soonyoung ; 
  • George, Arup Kocheethra ; 
  • Im, Donggu ; 
  • Je, Minkyu ; 
  • Lee, Junghyup
  • 2020-10
  • Hong, Soonyoung. (2020-10). A 1.0 V, 5.4 pJ/bit GFSK Demodulator Based on an Injection Locked Ring Oscillator for Low-IF Receivers. IEEE Access, 8, 185209–185217. doi: 10.1109/ACCESS.2020.3029863
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 699
  • Download : 0

A Multi-Mode ULP Receiver Based on an Injection-Locked Oscillator for IoT Applications

Article
A Multi-Mode ULP Receiver Based on an Injection-Locked Oscillator for IoT Applications
  • Hong, Soonyoung ; 
  • Lee, Se Hwan ; 
  • Lee, Junghyup ; 
  • Je, Min Kyu
  • 2020-04
  • Hong, Soonyoung. (2020-04). A Multi-Mode ULP Receiver Based on an Injection-Locked Oscillator for IoT Applications. IEEE Access, 8, 76966–76979. doi: 10.1109/ACCESS.2020.2989192
  • Institute of Electrical and Electronics Engineers Inc.
  • View : 858
  • Download : 206
Conference
A Neural Recording Amplifier Based on Adaptive SNR Optimization Technique for Long-Term Implantation
  • Lee, Taeju ; 
  • Jang, Doojin. ; 
  • Jung, Yoontae ; 
  • Jeon, Hyuntak ; 
  • Hong, Soonyoung ; 
  • Han, Sungmin ; 
  • Chu, Jun-Uk ; 
  • Lee, Junghyup ; 
  • Je, Minkyu
  • 2017-10-20
  • Lee, Taeju. (2017-10-20). A Neural Recording Amplifier Based on Adaptive SNR Optimization Technique for Long-Term Implantation. IEEE Biomedical Circuits and Systems Conference (BioCAS 2017), 352–355. doi: 10.1109/BIOCAS.2017.8325150
  • IEEE Circuits and Systems Society
  • View : 882
  • Download : 0
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