Optimal Subband Adaptive Filtering Algorithm Over Functional Link Neural Network-Reference-Cited by-同舟云学术

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Optimal Subband Adaptive Filtering Algorithm Over Functional Link Neural Network

Published:2023-09-17 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 33rd International Workshop on Machine Learning for Signal Processing (MLSP)
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Author:

Ye Jianhong¹,Yu Yi²,Chen Badong²,Zheng Zongsheng³

Affiliation:

1. Southwest University of Science and Technology,School of Information Engineering, Robot Technology Used for Special Environment Key Laboratory of Sichuan Province,Mianyang,China,621010

2. Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University,Xi’an,China,710049

3. Sichuan University,School of Electrical Engineering,Chengdu,China,610065

Funder

National Natural Science Foundation of China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10285838/10285858/10285919.pdf?arnumber=10285919

Reference21 articles.

1. Design of delayless multi-sampled subband functional link neural network with application to active noise control

2. Recursive Adaptive Sparse Exponential Functional Link Neural Network for Nonlinear AEC in Impulsive Noise Environment

3. Stochastic analysis of the normalized subband adaptive filter algorithm;yin;IEEE Transactions on Circuits and Systems I Regular Papers,2010

4. Mean-square deviation analysis of multiband-structured subband adaptive filter algorithm;jin jeong;IEEE Transactions on Signal Processing,2015

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