Performance Analysis of Fractional Learning Algorithms-Reference-Cited by-同舟云学术

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Performance Analysis of Fractional Learning Algorithms

Published:2022 Issue: Volume:70 Page:5164-5177
ISSN:1053-587X
Container-title:IEEE Transactions on Signal Processing
language:
Short-container-title:IEEE Trans. Signal Process.

Author:

Wahab Abdul¹^ORCID,Khan Shujaat²^ORCID,Naseem Imran³^ORCID,Ye Jong Chul⁴^ORCID

Affiliation:

1. Department of Mathematics, School of Sciences and Humanities, Nazarbayev University, Nur-Sultan, Kazakhstan

2. Department of Bio and Brain Engineering, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea

3. School of Electrical, Electronic and Computer Engineering, The University of Western Australia, Crawley, Western, Australia

4. Kim Jaechul Graduate School of AI, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea

Funder

Nazarbayev University, Kazakhstan

Institute of Information & Communication Technology Planning & Evaluation

Ministry of Science and ICT

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/78/9675017/09925128.pdf?arnumber=9925128

Reference61 articles.

1. An innovative fractional order LMS based on variable initial value and gradient order

2. Identification for Hammerstein nonlinear ARMAX systems based on multi-innovation fractional order stochastic gradient

3. Design of fractional-order variants of complex LMS and NLMS algorithms for adaptive channel equalization

4. A novel orthogonalized fractional order filtered-x normalized least mean squares algorithm for feedforward vibration rejection

5. Comments on “Design of momentum fractional LMS for Hammerstein nonlinear system identification with application to electrically stimulated muscle model”

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4. LMI Stability Condition for Delta Fractional Order Systems With Region Approximation;IEEE Transactions on Circuits and Systems I: Regular Papers;2023-09

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