Abstract: This paper presents a Radio-Frequency (RF) spectrum prediction system based on a Convolutional Neural Network (CNN) architecture for image-based forecasting intended for Cognitive Radio (CR) ...

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Abstract: This paper presents the evaluation of an image restoration approach based on a bilateral Gaussian filter (BGF) to address signal identification for spectrum sensing. The proposed methodology ...

Signal analysis and classification is fraught with high levels of noise and perturbation. Computer-vision-based deep learning models applied to spectrograms have proven useful in the field of signal ...

The radio hackers in the audience will be familiar with a spectrogram display, but for the uninitiated, it’s basically a visual representation of how a range of frequencies are changing with time.

Materials and Components Research Division, Superintelligence Creative research Laboratory, Electronics and Telecommunications Research Institute (ETRI), Daejeon 34129, Republic of Korea Department of ...

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The Temporal Modulation Spectrum Toolbox is a Matlab toolbox designed for the computation of amplitude and f0 modulation spectra and spectrograms. This versatile toolbox has been developed as part of ...