Jaekyun Moon
Jaekyun Moon
University of Minnesota, KAIST, Carnegie Mellon University
Verified email at
Cited by
Cited by
Performance comparison of detection methods in magnetic recording
J Moon, LR Carley
IEEE Transactions on Magnetics 26 (6), 3155-3172, 1990
Equalization for maximum likelihood detectors
J Moon, W Zeng
IEEE Transactions on Magnetics 31 (2), 1083-1088, 1995
Maximum transition run codes for data storage systems
J Moon, B Brickner
IEEE Transactions on Magnetics 32 (5), 3992-3994, 1996
Tapnet: Neural network augmented with task-adaptive projection for few-shot learning
SW Yoon, J Seo, J Moon
International conference on machine learning, 7115-7123, 2019
Digital front-end for wireless communication system
Y Kim, J Moon
US Patent 7,190,748, 2007
Pattern-dependent noise prediction in signal-dependent noise
J Moon, J Park
IEEE Journal on Selected Areas in Communications 19 (4), 730-743, 2001
Apparatus and method for dynamic diversity based upon receiver-side assessment of link quality
J Moon, Y Kim, BJ Brickner, PC Edwards, ME Butenhoff
US Patent 7,146,134, 2006
Discrete-time modeling of transition noise dominant channels and study of detection performance
J Moon
IEEE Transactions on Magnetics 27 (6), 4573-4578, 1991
Error detection and correction using error pattern correcting codes
J Moon, J Park
US Patent 8,108,759, 2012
Joint equalization, soft-demapping and phase error correction in wireless system with receive diversity
Y Kim, FR Rad, BJ Brickner, J Moon
US Patent 7,173,990, 2007
A low-density generator matrix interpretation of parallel concatenated single bit parity codes
TR Oenning, J Moon
IEEE Transactions on Magnetics 37 (2), 737-741, 2001
Hierarchical coding for distributed computing
H Park, K Lee, J Sohn, C Suh, J Moon
2018 IEEE International Symposium on Information Theory (ISIT), 1630-1634, 2018
Wireless video caching and dynamic streaming under differentiated quality requirements
M Choi, J Kim, J Moon
IEEE Journal on Selected Areas in Communications 36 (6), 1245-1257, 2018
Signal-to-noise ratio definition for magnetic recording channels with transition noise
J Moon
IEEE transactions on magnetics 36 (5), 3881-3883, 2000
Design of a rate 6/7 maximum transition run code
B Brickner, J Moon
IEEE Transactions on Magnetics 33 (5), 2749-2751, 1997
Capacity of clustered distributed storage
J Sohn, B Choi, SW Yoon, J Moon
IEEE Transactions on Information Theory 65 (1), 81-107, 2018
Weighted-sum-rate-maximizing linear transceiver filters for the K-user MIMO interference channel
J Shin, J Moon
IEEE transactions on communications 60 (10), 2776-2783, 2012
Modeling the Lorentzian magnetic recording channel with transition noise
T Oenning, J Moon
IEEE transactions on magnetics 37 (1), 583-591, 2001
Data storage channel equalization using neural networks
SK Nair, J Moon
IEEE transactions on neural networks 8 (5), 1037-1048, 1997
Method and apparatus for implementing maximum transition run codes
J Moon, BJ Brickner
US Patent 5,859,601, 1999
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