Machine Learning-Based Coarse Frequency Bands Classification For Cognitive Radio Applications-Reference-Cited by-同舟云学术

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Machine Learning-Based Coarse Frequency Bands Classification For Cognitive Radio Applications

Published:2023-05-09 Issue: Volume: Page:
ISSN:
Container-title:2023 20th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)
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Author:

Valieva Inna¹,Shashidhar Bharath²,Björkman Mats¹,Åkerberg Johan¹,Ekström Mikael¹,Voitenko Iurii²

Affiliation:

1. Mälardalen University,School of Innovation, Design, and Engineering,Västerås,Sweden

2. Wireless P2P Technologies,Research and Development,Falun,Sweden

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10152863/10153128/10153155.pdf?arnumber=10153155

Reference39 articles.

1. Spectrum Sensing for Cognitive Radio: Recent Advances and Future Challenge

2. Data Analysis

3. Wideband signal detection for cognitive radio applications with limited resources

4. Reliable Machine Learning Based Spectrum Sensing in Cognitive Radio Networks

5. Spectrum Sensing Based on Combined Eigenvalue and Eigenvector Through Blind Learning

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