Jun-Seok Lim

Orcid: 0000-0003-1779-3484

According to our database1, Jun-Seok Lim authored at least 37 papers between 1999 and 2020.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2020
ℓ <sub>1</sub>-Norm Iterative Wiener Filter for Sparse Channel Estimation.
Circuits Syst. Signal Process., 2020

2019
Reverberation suppression using non-negative matrix factorization to detect low-Doppler target with continuous wave active sonar.
EURASIP J. Adv. Signal Process., 2019

2018
New Context-Adaptive Arithmetic Coding Scheme for Lossless Bit Rate Reduction of Parametric Stereo in Enhanced aacPlus.
IEICE Trans. Inf. Syst., 2018

2016
Reweighted l<sub>1</sub> regularized TLS linear neuron for the sparse system identification.
Neurocomputing, 2016

2014
Context-Based Arithmetic Coding Scheme for Parametric Stereo in Enhanced aacPlus.
J. Inf. Sci. Eng., 2014

2013
Low complexity adaptive forgetting factor for online sequential extreme learning machine (OS-ELM) for application to nonstationary system estimations.
Neural Comput. Appl., 2013

Partitioned online sequential extreme learning machine for large ordered system modeling.
Neurocomputing, 2013

Time Delay Estimation Method Based on Canonical Correlation Analysis.
Circuits Syst. Signal Process., 2013

2012
Iterative Frequency Estimation for Accuracy Improvement of Three DFT Phase-Based Methods.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012

Efficient Reconstruction of Speakerphone-Mode Cellular Phone Sound for Application to Sound Quality Assessment.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2012

2009
Noisy FIR parameter estimation by combining of total least mean squares estimation and least mean squares estimation.
IEICE Electron. Express, 2009

A low-complexity AFF-RLS algorithm using a normalization technique.
IEICE Electron. Express, 2009

Novel LMS algorithms based on status categorization.
IEICE Electron. Express, 2009

2008
Recursive DLS solution for extreme learning machine-based channel equalizer.
Neurocomputing, 2008

2007
Adaptive step-size widely linear linearly constrained constant modulus algorithm for DS-CDMA receivers in nonstationary interference environments.
Signal Process., 2007

A Recursive Data Least Square Algorithm and Its Channel Equalization Application.
IEICE Trans. Commun., 2007

Adaptive Step-Size Widely Linear Constant Modulus Algorithm for DS-CDMA Receivers in Nonstationary Interference Environments.
IEICE Trans. Commun., 2007

FNN (Feedforward Neural Network) Training Method Based on Robust Recursive Least Square Method.
Proceedings of the Advances in Neural Networks, 2007

A Neural Network Solution on Data Least Square Algorithm and Its Application for Channel Equalization.
Proceedings of the Advances in Neural Networks, 2007

A Neural Network Based Data Least Squares Algorithm for Channel Equalization.
Proceedings of the New Trends in Applied Artificial Intelligence, 2007

2006
Robust Recursive Complex Extreme Learning Machine Algorithm for Finite Numerical Precision.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

A Prewhitening RLS Projection Alternated Subspace Tracking (PAST) Algorithm.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

Recursive Complex Extreme Learning Machine with Widely Linear Processing for Nonlinear Channel Equalizer.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006

2005
VFF-PASTd Based Multiple Target Angle Tracking with Angular Innovation.
IEICE Trans. Commun., 2005

Robust Recursive TLS (Total Least Square) Method Using Regularized UDU Decomposed for FNN (Feedforward Neural Network) Training.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

An Efficient Recursive Total Least Squares Algorithm for Training Multilayer Feedforward Neural Networks.
Proceedings of the Advances in Neural Networks - ISNN 2005, Second International Symposium on Neural Networks, Chongqing, China, May 30, 2005

RLS Adaptation of Widely Linear Minimum Output Energy Algorithm for DS-CDMA Systems.
Proceedings of the Telecommunications 2005: Advanced Industrial Conference on Telecommunications / Service Assurance with Partial and Intermittent Resources Conference / E-Learning on Telecommunications Workshop (AICT / SAPIR / ELETE 2005), 2005

2004
Channel estimation for OFDM with fast fading channels by modified Kalman filter.
IEEE Trans. Consumer Electron., 2004

A Portability Study on Implementation Technologies by Comparing a Railway Simulator and an Aircraft FTD.
Proceedings of the Systems Modeling and Simulation: Theory and Applications, 2004

Forward-Backward Time Varying Forgetting Factor Kalman Filter Based Landing Angle Estimation Algorithm for UAV (Unmanned Aerial Vehicle) Autolanding Modelling.
Proceedings of the Systems Modeling and Simulation: Theory and Applications, 2004

2003
Equalization of low frequency response in automobile.
IEEE Trans. Consumer Electron., 2003

A novel approach for the equalization of low frequency response in the automotive space.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002
Variable forgetting factor linear least squares algorithm for frequency selective fading channel estimation.
IEEE Trans. Veh. Technol., 2002

A New Robust Acoustic Crosstalk Cancellation Method with Sum and Difference Filter for 3D Audio System.
IEICE Trans. Fundam. Electron. Commun. Comput. Sci., 2002

Adaptive moving jammer cancellation algorithm for small aperture array.
Proceedings of the IEEE International Conference on Acoustics, 2002

Forward-backward time varying forgetting factor Kalman filter based DOA estimation algorithm for UAV (Unmanned Aerial Vehicle) autolanding.
Proceedings of the IEEE International Conference on Acoustics, 2002

1999
Time-varying signal frequency estimation by VFF Kalman filtering.
Signal Process., 1999


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