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Guan-Cheng Wang
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2020 – today
- 2023
- [j11]Qinrou Li, Yuyuan Zhuang, Lilan Zou, Guan-Cheng Wang:
Accelerated Adaptive Gradient Neural Dynamics Models for Solving Time-Variant Lyapunov Equation and Their Applications. IEEE Access 11: 29474-29482 (2023) - [j10]Xiuchun Xiao, Chengze Jiang, Long Jin, Haoen Huang, Guan-Cheng Wang:
Nonlinear RNN with noise-immune: A robust and learning-free method for hyperspectral image target detection. Expert Syst. Appl. 229(Part A): 120490 (2023) - [j9]Jianhang Zhou, Guan-Cheng Wang, Shaoning Zeng, Bob Zhang:
Learning with Euler Collaborative Representation for Robust Pattern Analysis. ACM Trans. Intell. Syst. Technol. 14(6): 109:1-109:25 (2023) - 2021
- [j8]Guan-Cheng Wang, Haoen Huang, Limei Shi, Chuhong Wang, Dongyang Fu, Long Jin, Xiuchun Xiao:
A noise-suppressing Newton-Raphson iteration algorithm for solving the time-varying Lyapunov equation and robotic tracking problems. Inf. Sci. 550: 239-251 (2021) - [j7]Haoen Huang, Dongyang Fu, Guan-Cheng Wang, Long Jin, Shan Liao, Huan Wang:
Modified Newton integration algorithm with noise suppression for online dynamic nonlinear optimization. Numer. Algorithms 87(2): 575-599 (2021) - 2020
- [j6]Guan-Cheng Wang, Haoen Huang, Jingkun Yan, Yihang Cheng, Dongyang Fu:
An Integration-Implemented Newton-Raphson Iterated Algorithm With Noise Suppression for Finding the Solution of Dynamic Sylvester Equation. IEEE Access 8: 34492-34499 (2020) - [j5]Haoen Huang, Dongyang Fu, Jiazheng Zhang, Xiuchun Xiao, Guan-Cheng Wang, Shan Liao:
Modified Newton integration neural algorithm for solving the multi-linear M-tensor equation. Appl. Soft Comput. 96: 106674 (2020) - [j4]Shan Liao, Jiayong Liu, Xiuchun Xiao, Dongyang Fu, Guan-Cheng Wang, Long Jin:
Modified gradient neural networks for solving the time-varying Sylvester equation with adaptive coefficients and elimination of matrix inversion. Neurocomputing 379: 1-11 (2020) - [j3]Xiuchun Xiao, Dongyang Fu, Guan-Cheng Wang, Shan Liao, Yimeng Qi, Haoen Huang, Long Jin:
Two neural dynamics approaches for computing system of time-varying nonlinear equations. Neurocomputing 394: 84-94 (2020)
2010 – 2019
- 2018
- [j2]Guan-Cheng Wang, Cheng Li, Yan Zhu, Jianyu Zhong, Yan Lu, Chi-Hang Chan, Rui Paulo Martins:
Missing-Code-Occurrence Probability Calibration Technique for DAC Nonlinearity With Supply and Reference Circuit Analysis in a SAR ADC. IEEE Trans. Circuits Syst. I Regul. Pap. 65-I(11): 3707-3719 (2018) - [j1]Guan-Cheng Wang, Yan Zhu, Chi-Hang Chan, Seng-Pan U, Rui Paulo Martins:
Gain Error Calibrations for Two-Step ADCs: Optimizations Either in Accuracy or Chip Area. IEEE Trans. Very Large Scale Integr. Syst. 26(11): 2279-2289 (2018) - 2017
- [c1]Guan-Cheng Wang, Yan Zhu, Chi-Hang Chan, Seng-Pan U, Rui Paulo Martins:
A missing-code-detection gain error calibration achieving 63dB SNR for an 11-bit ADC. ESSCIRC 2017: 239-242
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