In this paper, a new quantized kernel adaptive filter called quantized kernel maximum correntropy (QKMC) is developed, which is robust to large outliers or ...

In this paper, a new quantized kernel adaptive filter called quantized kernel maximum correntropy (QKMC) is developed, which is robust to large outliers or ...

In this paper, a new quantized kernel adaptive filter called quantized kernel maximum correntropy (QKMC) is developed, which is robust to large outliers or ...

Bibliographic details on Quantized kernel maximum correntropy and its mean square convergence analysis.

The proposed approach effectively enhances the robustness of non-Gaussian noise and greatly improves the convergence speed and filtering accuracy, and its ...

공동 저자 ; Quantized kernel maximum correntropy and its mean square convergence analysis. S Wang, Y Zheng, S Duan, L Wang, H Tan. Digital Signal Processing 63, ...

Jan 11, 2024 · In this paper, we propose the quantized kernel least squares regression, and derive the optimal solution. By incorporating a simple online ...

Feb 9, 2018 · Tan, Quantized kernel maximum correntropy and its mean square convergence analysis, Digital Signal Processing 63 (2017) 164–176. [20] A ...

Jun 13, 2019 · Quantized kernel maximum correntropy and its mean square convergence analysis. Dig. Signal Process. 2017;63:164–176. doi: 10.1016/j.dsp ...

Compared with other quantized methods, e.g., quantized kernel least mean square (QKLMS) and quantized kernel maximum correntropy (QKMC), the efficient ...