Autors: Tsvetkov, T. D., Iliev, I. G.
Title: Computational Complexity Analysis of Cognitive Radio using PCA with Various Clustering Methods
Keywords: Channel Identification, Cluster Analysis, Cognitive Radio, Principal Component Analysis, Spectrum Monitoring

Abstract: In this article we examine various clustering methods suitable for signal processing from wide frequency range. Partitioning and hierarchical clustering techniques are used. The research is made on the basis of cluster size, signal to noise ratio and relative computational time. Significant reduction in processing power is achieved by applying preprocessing using principal component analysis. The goal of this article is to improve quality parameters for cognitive radio systems by using preprocessing and cluster analysis.

References

    Issue

    28th National Conference with International Participation (TELECOM), vol. 28, pp. 145-148, 2020, Bulgaria, DOI 10.1109/TELECOM50385.2020.9299558

    Цитирания (Citation/s):
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    Вид: пленарен доклад в национален форум с межд. уч., публикация в реферирано издание, индексирана в Scopus