ADAPTIVE CONVEX COMBINATION OF KERNEL MAXIMUM CORRENTROPY CRITERION

被引：0
|
作者：
Shi, Long [1 ]
Yang, Yunchen [1 ]
机构：
[1] Southwestern Univ Finance & Econ, Sch Comp & Artificial Intelligence, Chengdu 611130, Peoples R China
来源：
2022 IEEE 32ND INTERNATIONAL WORKSHOP ON MACHINE LEARNING FOR SIGNAL PROCESSING (MLSP) | 2022年
关键词：
Kernel adaptive filter; Correntropy; Convex combination; Steady-state EMSE; PERFORMANCE;
D O I：
10.1109/MLSP55214.2022.9943337
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Over the past few years, the kernel maximum correntropy (KMC) algorithm has attracted much attention. But the traditional KMC uses a fixed correntropy-induced kernel width, which may result in undesirable performance if the kernel width is not appropriately selected. To overcome this shortcoming, we consider a convex combination of two KMC algorithms with different kernel widths. By adjusting the control parameter, the proposed algorithm can enjoy the advantages from two separate KMC algorithms. In addition, by applying some widely used assumptions, we conduct the convergence analysis, as well as the steady-state excessive mean-square error (EMSE) analysis. Simulations have demonstrated the superiority of our finding.
引用
收藏
页数：6
相关论文
共 50 条
  • [11] A Robust GPS Navigation Filter Based on Maximum Correntropy Criterion with Adaptive Kernel Bandwidth
    Jwo, Dah-Jing
    Chen, Yi-Ling
    Cho, Ta-Shun
    Biswal, Amita
    SENSORS, 2023, 23 (23)
  • [12] Quantized Kernel Learning Filter with Maximum Mixture Correntropy Criterion
    Chu, Lin
    Li, Wenling
    PROCEEDINGS OF 2019 CHINESE INTELLIGENT AUTOMATION CONFERENCE, 2020, 586 : 647 - 655
  • [13] Kernel Kalman Filtering With Conditional Embedding and Maximum Correntropy Criterion
    Dang, Lujuan
    Chen, Badong
    Wang, Shiyuan
    Gu, Yuantao
    Principe, Jose C.
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, 2019, 66 (11) : 4265 - 4277
  • [14] Robust variable kernel width for maximum correntropy criterion algorithm
    Huang, Wei
    Shan, Haojie
    Xu, Jinshan
    Yao, Xinwei
    SIGNAL PROCESSING, 2021, 182
  • [15] An Improved Variable Kernel Width for Maximum Correntropy Criterion Algorithm
    Shi, Long
    Zhao, Haiquan
    Zakharov, Yuriy
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, 2020, 67 (07) : 1339 - 1343
  • [16] Nystrom Kernel Algorithm Under Generalized Maximum Correntropy Criterion
    Zhang, Tao
    Wang, Shiyuan
    IEEE SIGNAL PROCESSING LETTERS, 2020, 27 (27) : 1535 - 1539
  • [17] Statistics variable kernel width for maximum correntropy criterion algorithm
    Zhou, Shuyong
    Zhao, Haiquan
    SIGNAL PROCESSING, 2020, 176
  • [18] Kernel Adaptive Filtrs With Feedback Based on Maximum Correntropy
    Wang, Shiyuan
    Dang, Lujuan
    Wang, Wanli
    Qian, Guobing
    Tse, Chi K.
    IEEE ACCESS, 2018, 6 : 10540 - 10552
  • [19] Refrigerated Showcase Fault Detection by an Autoencoder with the Adaptive Kernel Size Tuning using Maximum Correntropy Criterion
    Igarashi, Msato
    Fukuyama, Yoshikazu
    Shimasaki, Yuichi
    Osada, Yuto
    Murakami, Kenya
    Iizaka, Tatsuya
    Santana, Adamo
    Matsui, Tetsuro
    2022 IEEE SYMPOSIUM SERIES ON COMPUTATIONAL INTELLIGENCE (SSCI), 2022, : 231 - 237
  • [20] An adaptive combination constrained proportionate normalized maximum correntropy criterion algorithm for sparse channel estimations
    Wang, Yanyan
    Li, Yingsong
    Bermudez, Jose Carlos M.
    Han, Xiao
    EURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSING, 2018,
12345