Dictionary Adaptation for Adaptive Filtering With Multiple Kernels in a Dynamic Environment

被引：0

作者：

Wada, Tomoya ^{[1
]}

Tanaka, Toshihisa ^{[1
]}

机构：

[1] Tokyo Univ Agr & Technol, Dept Elect & Elect Engn, 2-14-16 Nakacho, Koganei, Tokyo 1848588, Japan

来源：

2016 IEEE INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, COMMUNICATIONS AND COMPUTING (ICSPCC) | 2016年

关键词：

nonlinear adaptive filtering; kernel methods; reproducing kernel Hilbert space; dictionary learning; HILBERT-SPACES;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

One of the major challenges in adaptive filtering is choosing an appropriate model. In this paper, we propose a novel dictionary adaptation rule with multiple kernels. The proposed method can eliminate unnecessary elements in the dictionary by using block l(1)-regularization. In addition to that, the proposed method can efficiently "move" elements of the dictionary to increase the approximation performance. Numerical examples support the efficacy of the proposed method.

引用

页数：4

共 50 条

[41] Particle swarm with speciation and adaptation in a dynamic environment
Li, Xiaodong
Branke, Juergen
Blackwell, Tim
GECCO 2006: GENETIC AND EVOLUTIONARY COMPUTATION CONFERENCE, VOL 1 AND 2, 2006, : 51 - +
[42] Dynamic organizations: Organizational adaptation in a changing environment
Carley, KM
Lee, US
ADVANCES IN STRATEGIC MANAGEMENT, VOL 15, 1998: DISCIPLINARY ROOTS OF STRATEGIC MANAGEMENT RESEARCH, 1998, 15 : 269 - 297
[43] The Adaptive Fingerprint Localization in Dynamic Environment
Long, Keliu
Zheng, Chongwei
Zhang, Kun
Tian, Chuan
Shen, Chong
IEEE SENSORS JOURNAL, 2022, 22 (13) : 13562 - 13580
[44] ADAPTIVE FREQUENCY-DOMAIN FILTERING OF DYNAMIC SCINTIGRAPHIES
LUYPAERT, R
BOSSUYT, A
VANCRAEN, J
BRITISH JOURNAL OF RADIOLOGY, 1985, 58 (692): : 822 - 822
[45] A Modified Adaptive Filtering algorithm for Identification of a Dynamic system
Parija, Sebamai
Hasan, Shazia
2015 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, SIGNALS, COMMUNICATION AND OPTIMIZATION (EESCO), 2015,
[46] Dynamic grey clustering adaptive H∞ filtering algorithm
Dai, Shao-Zhong
Wang, Bo
Shi, Yong-Sheng
Dong, Ming-Jie
Beijing Ligong Daxue Xuebao/Transaction of Beijing Institute of Technology, 2006, 26 (11): : 995 - 998
[47] Unsupervised adaptive microblog filtering for broad dynamic topics
Magdy, Walid
Elsayed, Tamer
INFORMATION PROCESSING & MANAGEMENT, 2016, 52 (04) : 513 - 528
[48] Adaptive Kalman Filtering for Dynamic Positioning of Marine Vessels
Popov, Ivan
Koschorrek, Philipp
Haghani, Adel
Jeinsch, Torsten
IFAC PAPERSONLINE, 2017, 50 (01): : 1121 - 1126
[49] Adaptive filtering for MEMS gyroscope with dynamic noise model
Bai, Yuting
Wang, Xiaoyi
Jin, Xuebo
Su, Tingli
Kong, Jianlei
Zhang, Baihai
ISA TRANSACTIONS, 2020, 101 : 430 - 441
[50] Analysis on Adaptive Filtering for Nonlinear Dynamic Estimation Systems
Wang, Jianjun
PROCESSING OF 2014 INTERNATIONAL CONFERENCE ON MULTISENSOR FUSION AND INFORMATION INTEGRATION FOR INTELLIGENT SYSTEMS (MFI), 2014,

← 1 2 3 4 5 →