Shanmou Chen

According to our database, Shanmou Chen authored at least 10 papers between 2022 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Quantized kernel recursive minimum error entropy algorithm.

Wang Jiang, Yuyi Gao, Yue He, Shanmou Chen

Eng. Appl. Artif. Intell., May, 2023

Generalized Hyperbolic Tangent Based Random Fourier Conjugate Gradient Filter for Nonlinear Active Noise Control.

Yingying Xiao, Shanmou Chen, Qiangqiang Zhang, Dongyuan Lin, Minglin Shen, Junhui Qian, Shiyuan Wang

IEEE ACM Trans. Audio Speech Lang. Process., 2023

Robust Affine Projection Tanh Algorithm and Its Performance Analysis.

Qiangqiang Zhang, Shiyuan Wang, Dongyuan Lin, Shanmou Chen

Signal Process., 2023

Diffusion adagrad minimum kernel risk sensitive mean p-power loss algorithm.

Lina Peng, Tao Zhang, Shiyuan Wang, Gangyi Huang, Shanmou Chen

Signal Process., 2023

2022

Maximum Total Quaternion Correntropy for Adaptive Filtering.

Dongyuan Lin, Qiangqiang Zhang, Shanmou Chen, Shiyuan Wang

IEEE Trans. Signal Process., 2022

Robust State Estimation With Maximum Correntropy Rotating Geometric Unscented Kalman Filter.

Shanmou Chen, Qiangqiang Zhang, Tao Zhang, Lingcong Zhang, Lina Peng, Shiyuan Wang

IEEE Trans. Instrum. Meas., 2022

The Generalized HR $q$-Derivative and Its Application to Quaternion Least Mean Square Algorithm.

Dongyuan Lin, Qiangqiang Zhang, Shanmou Chen, Shiyuan Wang

IEEE Signal Process. Lett., 2022

Generalized Loss Based Geometric Unscented Kalman Filter for Robust Power System Forecasting-Aided State Estimation.

Shanmou Chen, Qiangqiang Zhang, Dongyuan Lin, Shiyuan Wang

IEEE Signal Process. Lett., 2022

A Class of Nonlinear Kalman Filters Under a Generalized Measurement Model With False Data Injection Attacks.

Shanmou Chen, Qiangqiang Zhang, Dongyuan Lin, Shiyuan Wang

IEEE Signal Process. Lett., 2022

Event-Triggered Quantized Kernel Least Mean Square Algorithm.

Qiangqiang Zhang, Dongyuan Lin, Shanmou Chen, Shiyuan Wang

Proceedings of the 32nd IEEE International Workshop on Machine Learning for Signal Processing, 2022