ScholarWorks@Hanyang University: Choi, Jun Won

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Choi, Jun Won (최준원)

COLLEGE OF ENGINEERING (MAJOR IN ELECTRICAL ENGINEERING)

Research Area: 신호처리

Tel 02-2220-2316
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Channel estimation:6||deep learning:4||Training:4||automatic modulation classification:4||channel estimation:3||orthogonal frequency division multiplexing (OFDM):3||Predictive models:3||deep neural network:3||beam tracking:3||iterative detection and decoding:2||joint channel estimation and detection:2||Deep neural network:2||Compressed sensing:2||Millimeter wave communication:2||compressed sensing:2||Array signal processing:2||maximum likelihood estimation:2||Trajectory:2||mobility:2||Precoding:2||glaucoma:2||diagnostic ability:2||multipleinput multipleoutput (MIMO):2||greedy algorithm:2||3D object detection:2||image processing:2||Sensor fusion:2||turbo equalization:2||Cellfree systems:1||Cellular networks:1||Channel models:1||Chirp signal:1||Closest lattice point search:1||Codebookbased precoding:1||Compressive sensing:1||Computational modeling:1||Consistency:1||Correlation:1||Cumulant:1||Data models:1||Deep learning(딥러닝):1||Deeplearning:1||Depth Estimation(깊이추정):1||Downlink:1||Emotion recognition:1||Feature extraction:1||Feature selection:1||Feeds:1||Forecasting:1||Glass:1||Heuristic algorithms:1||History:1||Image classification:1||Intelligent vehicle:1||Iterative detection and decoding (IDD):1||LSTM:1||LTEAdvanced:1||LiDAR:1||LiDAR point cloud(라이다 포인트 클라우드):1||LiDAR sensor:1||Locationaware communication:1||Loss measurement:1||Lowpower arithmetic unit:1||Malgorithm:1||MMTC:1||Markov chain Monte Carlo:1||Matching pursuit algorithms:1||Millimeter wave communications:1||Millimeterwave communications:1||Mmwave:1||Monocular Camera Sensor(단안카메라센서):1||Motion pictures:1||OFDM:1||Object Detection &:1||PSK:1||Probabilistic logic:1||Proposals:1||Protocols:1||Q measurement:1||Qlearning:1||QAM:1||RaoBlackwellization:1||Robust beamforming:1||Scattering:1||Sensors:1||Signal processing algorithms:1||Signal to noise ratio:1||Sparse recovery algorithm:1||Sparse signal recovery:1||SpatioTemporality(시공간성):1||Spatiotemporal feature map(시공간 특징 지도):1||Statistical feature:1||Symbols:1||Task analysis:1||Temporal selfensemble:1||Timing error recovery:1||Tracking:1||Transmission power adaptation:1||Turbo equalization:1||Unsupervised learning:1||Uplink:1||Video object detection(비디오 객체 검출):1||Vision for Robotics &:1||Voltage overscaling:1||Waterfilling:1||Wearable computers:1||Wearable device:1||Wireless communication:1||aerial acoustic communication:1||affective computing:1||angle reciprocity:1||autonomous driving:1||auxiliary supervision:1||beam training:1||biosignal:1||block coordinate decent (BCD) optimization:1||compressive sensing:1||cumulant:1||data deficit problem:1||decision directed channel estimation:1||deep Qnetwork:1||deep reinforcement learning:1||digital modulations:1||doubly selective channel:1||downlink pilot allocation:1||emotion recognition:1||error correction:1||expectationmaximization (EM):1||expectationmaximization (EM) algorithm:1||extended Kalman filter:1||facial expression:1||fading channel:1||fading channels:1||feature extraction:1||feature selection:1||feedback reduction:1||frequency division duplexing (FDD):1||frequency reuse:1||frequencyselective channels:1||grantfree access:1||group detection:1||hard clustering:1||intersymbol interference:1||iterative receiver:1||kbest search:1||l(1)norm:1||largescale systems:1||linear minimum mean square error:1||list sphere decoding:1||lookahead path metric:1||massive multipleinput multipleoutput (MIMO):1||minimum mean squared error beamforming:1||mmWave:1||mmWave communications:1||monocular image:1||movingaverage:1||multiinput multioutput (MIMO):1||multimedia scalable sources:1||multiple measurement vector:1||multipleinputmultipleoutput (MIMO):1||multiuser detection:1||noncausal path metric:1||orthogonal matching pursuit:1||orthogonal spacetime block codes (OSTBC):1||outage probability:1||particle filter:1||path prediction:1||path selection:1||performance guarantee:1||phase mapping:1||physiological responses:1||piecewise linear modelling:1||probability of correct classification:1||reactive trajectory prediction:1||semisupervised learning:1||sequential MonteCarlo method:1||simultaneously sparse signal:1||smart devices:1||soft clustering:1||softinput softoutput detection:1||softwarebased digital modem:1||sparse recovery:1||sparse signal:1||sparse transformation:1||sphere decoding:1||statistical features:1||support recovery:1||sweptsource optical coherence tomography:1||tree detection:1||tree pruning:1||tree search:1||turbo principle:1||underdetermined systems:1||underwater acoustic channels:1||underwater communication:1||unsupervised learning:1||vertical Bell Labs spacetime architecture (VBLAST):1||widefield optical coherence tomography:1||wireless communication systems:1||딥러닝:1||라이다:1||센서융합:1||자율주행:1||카메라:1||3D CNN(3차원 컨볼루션 네트워크):1||캘리브레이션:1||3D Object Detection(3D 객체검출):1||3D object detection(3차원 객체 검출):1||AIbased methods:1||AUD:1||Active learning:1||Adaptive equalizer:1||Algorithmic noise tolerance:1||Autonomous Driving(자율주행):1||Autonomous Driving, CV:1||Autonomous agents:1||Autonomous driving:1||Autonomous driving(자율주행):1||Autonomous vehicles:1||Babai point:1||Bayes methods:1||Beam tracking:1||Biomedical monitoring:1||Bird’s eye view:1||Blind modulation classification:1||CV:1||Calibration:1||Camera:1||Camera sensor:1||Cameras:1||Capacity:1||Carrysave multiplier:1||Categorization:1||

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