算法
正确性
高斯分布
噪音(视频)
高斯噪声
计算机科学
自适应滤波器
理论(学习稳定性)
数学
人工智能
物理
量子力学
机器学习
图像(数学)
出处
期刊:IEEE transactions on systems, man, and cybernetics
[Institute of Electrical and Electronics Engineers]
日期:2023-11-01
卷期号:53 (11): 6757-6765
被引量:6
标识
DOI:10.1109/tsmc.2023.3287406
摘要
Currently, the generalized maximum correntropy criterion (GMCC) is extensively used in adaptive filtering arithmetic to handle generalized Gaussian noise. However, when the input signal is also subject to noise interference, the performance of the GMCC algorithm is degraded. In addition, the algorithms developed based on GMCC standards are facing high steady-state error problems. To address these issues, the generalized maximum Blake–Zisserman total correntropy (GMBZTC) algorithm based on the generalized maximum Blake–Zisserman (GMBZ) robust loss function is proposed in this article. More importantly, this article gives a detailed performance evaluation of the GMBZTC algorithm under generalized Gaussian noise conditions, obtains the conditions that guarantee the stability of the algorithm, and calculates the steady-state mean square deviation (S-MSD) of the algorithm. Finally, the excellence of the GMBZTC algorithm compared with other algorithms and the correctness of the theoretical analysis are demonstrated by simulation.
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