Improved Performance in Distributed Estimation by Convex Combination of DNSAF and DNLMS Algorithms-Reference-Cited by-同舟云学术

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Improved Performance in Distributed Estimation by Convex Combination of DNSAF and DNLMS Algorithms

Published:2022-09-13 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE International Conference on Artificial Intelligence in Engineering and Technology (IICAIET)
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Author:

Pouradabi Ahmad¹,Rastegarnia Amir²,Khalili Azam²,Farzamnia Ali³

Affiliation:

1. Shahid Rajaee Teacher Training University,Faculty of Electrical Engineering,Tehran,Iran

2. Malayer University,Department of Electrical Engineering,Malayer,Iran

3. Universiti Malaysia Sabah,Faculty of Engineering,Kota Kinabalu,Malaysia

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9936688/9936734/09936845.pdf?arnumber=9936845

Reference14 articles.

1. Sparsity-aware normalized subband adaptive filters with jointly optimized parameters

2. A Variable Step Size Normalized Least-Mean-Square Algorithm Based on Data Reuse

3. Stochastic analysis of the diffusion least mean square and normalized least mean square algorithms for cyclostationary white Gaussian and non‐ Gaussian inputs

4. Diffusion Least-Mean Squares Over Adaptive Networks: Formulation and Performance Analysis

5. Diffusion Bayesian Subband Adaptive Filters for Distributed Estimation Over Sensor Networks

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