BNET: A Neural Network Approach for LLR-Based Detection in the Presence of Bursty Impulsive Noise-Reference-Cited by-同舟云学术

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BNET: A Neural Network Approach for LLR-Based Detection in the Presence of Bursty Impulsive Noise

Published:2023-01 Issue:1 Volume:12 Page:80-84
ISSN:2162-2337
Container-title:IEEE Wireless Communications Letters
language:
Short-container-title:IEEE Wireless Commun. Lett.

Author:

Barka Hazem¹^ORCID,Alam Md Sahabul²^ORCID,Kaddoum Georges¹^ORCID,Sacuto Fabien³,Agba Basile L.³

Affiliation:

1. Electrical Engineering Department, École de technologie supérieure, Montréal, Canada

2. Electrical and Computer Engineering Department, California State University at Northridge, Northridge, CA, USA

3. Hydro-Quebec Research Institute, Varennes, Canada

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/5962382/10008400/09931338.pdf?arnumber=9931338

Reference13 articles.

1. Optimization of impulsive noise countering strategies for high data rate communications over indoor powerlines;ndo,2010

2. Neural Network-Aided BCJR Algorithm for Joint Symbol Detection and Channel Decoding

3. DEEPTURBO: Deep Turbo Decoder

4. Neural Network-Assisted Robust Symbol Detection Under Intersymbol Interference

5. Mitigation Techniques for Impulsive Noise With Memory Modeled by a Two State Markov-Gaussian Process

Cited by 1 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. A Novel Sparse Adaptive Filter for Suppressing Impulsive Disturbance in Audio Signals;2024

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