Adaptive Hammerstein Filtering via Recursive Non-Convex Projection-Reference-Cited by-同舟云学术

Adaptive Hammerstein Filtering via Recursive Non-Convex Projection

Published:2022 Issue: Volume:70 Page:2869-2882
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Liu Zhaoting¹^ORCID,Li Chunguang²^ORCID

Affiliation:

1. School of Communication Engineering, Hangzhou Dianzi University, Hangzhou, China

2. College of Information Science and Electronic Engineering and the Zhejiang Provincial Key Laboratory of Information Processing, Communication and Networking, Zhejiang University, Hangzhou, China

Funder

Key-Area Research and Development Program of Guangdong Province

National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/78/9675017/09788014.pdf?arnumber=9788014

Reference44 articles.

1. An adaptation of ridge regression for improved estimation of kinetic model parameters from PET studies

2. Generalized Hidden-Mapping Ridge Regression, Knowledge-Leveraged Inductive Transfer Learning for Neural Networks, Fuzzy Systems and Kernel Methods

3. Distributed Optimization and Statistical Learning via the Alternating Direction Method of Multipliers

4. Revisiting Hammerstein system identification through the Two-Stage Algorithm for bilinear parameter estimation

5. Convergence of the Iterative Hammerstein System Identification Algorithm

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