Development of signal processing and machine learning methods for spectrum sensing using autocorrelation features

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Detaylı Bibliyografya
Yayımlandı:	SN Applied Sciences vol. 7, no. 11 (Nov 2025), p. 1237
Yazar:	Sesham, Srinu
Diğer Yazarlar:	Suresh, Nalina, Chembe, Dickson Kanungwe
Baskı/Yayın Bilgisi:	Springer Nature B.V.
Konular:	Wireless networks Accuracy Deep learning Internet of Things Hypothesis testing Regression analysis Communication 5G mobile communication Regression models Signal processing Frequency ranges Noise levels Machine learning Energy Spectrum allocation Autocorrelation Statistical analysis Correlation coefficients Correlation coefficient Learning algorithms Fourier transforms Sensors Support vector machines Methods Eigenvalues Performance degradation Complexity Signal to noise ratio Environmental
Online Erişim:	Citation/Abstract Full Text Full Text - PDF
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