Search Results - "Jeong, Eui-Rim"

Multi-Target Estimation in OFDM Radar using YOLOv8 for Integrated Sensing and Communication.

Authors: Jeon, So-Yeon Jeong, Eui-Rim

Source: Technical Journal / Tehnički Glasnik; Mar2026, Vol. 20 Issue 1, p94-100, 7p

CNN-Based Spectrum Sensing Method for Low Probability of Detection Communication Systems.

Authors: Lee, Jae-Hyeon Jeon, So-Yeon Jeong, Eui-Rim

Source: Technical Journal / Tehnički Glasnik; Dec2025, Vol. 19 Issue 4, p581-586, 6p

Convolutional Neural Network (CNN)-Based Frame Synchronization Method.

Authors: Jeong, Eui-Rim Lee, Eui-Soo Joung, Jingon et al.

Source: Applied Sciences (2076-3417); Oct2020, Vol. 10 Issue 20, p7267, 11p

A Two-Step Approach to Power Allocation for OFDM Signals Over Two-Way Amplify-and-Forward Relay.

Authors: Jang, Yong-Up Jeong, Eui-Rim Lee, Yong H.

Source: IEEE Transactions on Signal Processing; April 2010, Vol. 58 Issue 4, p2426-2430, 5p

Adaptive Compensation for Power Amplifier Nonlinearity in the Presence of Quadrature Modulation/Demodulation Errors.

Authors: Kim, Young-Doo Jeong, Eui-Rim Lee, Yong H.

Source: IEEE Transactions on Signal Processing; September 2007, Vol. 55 Issue 9, p4717-4721, 5p

Least squares frequency-selective channels and its application to transmissions with antenna diversity.

Authors: Jeong, Eui-Rim Jo Sung-Kwon Lee, Young H.

Source: IEEE Journal on Selected Areas in Communications; December 2001, Vol. 19 Issue 12, p2369-2380, 12p

Data-aided frequency estimation for PSK signaling in frequency-selective fading.

Authors: Jeong, Eui-Rim Choi, Ginkyu Lee, Yong H.

Source: IEEE Journal on Selected Areas in Communications; July 2001, Vol. 19 Issue 7, p1408-1419, 12p

A –123-dBm Sensitivity Split-Channel BFSK Reconfigurable Data/Wake-Up Receiver for Low-Power Wide-Area Networks.

Authors: Kim, Keun-Mok Seok, Hyun-Gi Jung, Oh-Yong et al.

Source: IEEE Journal of Solid-State Circuits; Sep2021, Vol. 56 Issue 9, p2656-2667, 12p

Frame Design and Throughput Evaluation for Practical Multiuser MIMO OFDMA Systems.

Authors: Jang, Yong-Up Joung, Jingon Shin, Won-Yong et al.

Source: IEEE Transactions on Vehicular Technology; Sep2011, Vol. 60 Issue 7, p3127-3141, 15p

Detection of Atrial Fibrillation Using a Ring-Type Wearable Device (CardioTracker) and Deep Learning Analysis of Photoplethysmography Signals: Prospective Observational Proof-of-Concept Study.

Authors: Kwon, Soonil Hong, Joonki Choi, Eue-Keun et al.

Source: Journal of Medical Internet Research; May2020, Vol. 22 Issue 5, pN.PAG-N.PAG, 1p, 5 Charts

Towards the swift prediction of the remaining useful life of lithium-ion batteries with end-to-end deep learning.

Authors: Hong, Joonki Lee, Dongheon Jeong, Eui-Rim et al.

Source: Applied Energy. Nov2020, Vol. 278, pN.PAG-N.PAG. 1p.

Subjects: Forecasting, Convolutional neural networks, Lithium-ion batteries, Electric vehicle batteries, Error rates

Deep Learning Approaches to Detect Atrial Fibrillation Using Photoplethysmographic Signals: Algorithms Development Study.

Authors: Kwon S Hong J Choi EK et al.

Source: JMIR mHealth and uHealth [JMIR Mhealth Uhealth] 2019 Jun 06; Vol. 7 (6), pp. e12770. Date of Electronic Publication: 2019 Jun 06.

Publication Type: Journal Article; Research Support, Non-U.S. Gov't

Journal Info: Publisher: JMIR Publications Inc Country of Publication: Canada NLM ID: 101624439 Publication Model: Electronic Cited Medium: Print ISSN: 2291-5222 (Print) Linking ISSN: 22915222 NLM ISO Abbreviation: JMIR Mhealth Uhealth Subsets: MEDLINE