Quantized information-theoretic learning based Laguerre functional linked neural networks for nonlinear active noise control-Reference-Cited by-同舟云学术

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Quantized information-theoretic learning based Laguerre functional linked neural networks for nonlinear active noise control

Published:2024-05 Issue: Volume:213 Page:111348
ISSN:0888-3270
Container-title:Mechanical Systems and Signal Processing
language:en
Short-container-title:Mechanical Systems and Signal Processing

Author:

Zhu Yingying,Zhao Haiquan,Bhattacharjee Sankha Subhra^ORCID,Christensen Mads Græsbøll

Funder

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

National Natural Science Foundation of China National Outstanding Youth Science Fund Project

Publisher

Elsevier BV

Reference61 articles.

1. Adaptive active noise control systems: Algorithms and digital signal processing (DSP) implementations;Kuo,1995

2. A universal circuit for studying and generating chaos. I. Routes to chaos;Chua;IEEE Trans. Circuits Syst. I,1993

3. Underwater Acoustic Modeling and Simulation;Etter,2018

4. Modelling sound with chaos;Mackenzie,1994

5. Active control of nonlinear noise processes in a linear duct;Strauch;IEEE Trans. Signal Process.,1998

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Combined step size affine-projection-like exponential hyperbolic sine algorithm for robust active noise control;Mechanical Systems and Signal Processing;2024-12

2. Laguerre Kernel Adaptive Filter With Arctangent Criterion for Nonlinear System Identification;IEEE Signal Processing Letters;2024

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