Modulation Classification Using Compressed Sensing and Decision Tree–Support Vector Machine in Cognitive Radio System

In this paper, a blind modulation classification method based on compressed sensing using a high-order cumulant and cyclic spectrum combined with the decision tree–support vector machine classifier is proposed to solve the problem of low identification accuracy under single-feature parameters and re...

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Detalles Bibliográficos
Autores principales: Sun, Xiaoyong, Su, Shaojing, Zuo, Zhen, Guo, Xiaojun, Tan, Xiaopeng
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085730/
https://www.ncbi.nlm.nih.gov/pubmed/32155737
http://dx.doi.org/10.3390/s20051438

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7085730/
https://www.ncbi.nlm.nih.gov/pubmed/32155737
http://dx.doi.org/10.3390/s20051438

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