WebJun 1, 2024 · A Modulation Recognition Algorithm based on Cyclic Spectrum and SVM Classification DOI: Conference: 2024 IEEE 4th Information Technology, Networking, Electronic and Automation Control... WebJun 10, 2024 · Despite this, there has been no systematic investigation how the DEMON spectra depend of the carrier noise frequencies, and the modulation indices of vessel noise have not been investigated. We use a modification of the Cyclic Modulation Spectrum (CMS) to determine the modulation index of cavitation noise across the entire …
Deep learning classification for improved bicoherence feature …
WebOct 1, 2024 · The Cyclic Spectral Correlation (CSC) is a tool where the CS1 and CS2 signals are well described in the frequency-frequency domain. The method is represented as a distribution function of two frequency variables: the cyclic frequency α linked to the modulating signal and the spectral frequency f linked to the carrier signal. WebMay 6, 2024 · Cyclic Modulation Spectrum. This function returns an estimation of the (cross) spectral density correlation, called (cross) cyclic modulation spectrum. It can be used for detecting hidden cycliostationary components in a given signal and it can be … owner of gatwick airport a nigerian
The Spectral Correlation Function – Cyclostationary Signal …
WebSep 1, 2024 · This framework utilises the angle-frequency instantaneous power spectrum and the order-frequency cyclic modulation spectrum to construct feature planes. The kurtogram, the sparsogram, the infogram, the ICS2gram and the log-cycligram are obtained on numerical and experimental datasets acquired under time-varying operating … WebOct 1, 2024 · This study improves two current mature cyclostationary approaches, cyclic modulation spectrum (CMS) and fast spectral correlation (Fast-SC), combined with the novel frequency-domain application of ... WebSep 28, 2015 · Spectral correlation is perhaps the most widely used characterization of the cyclostationarity property. The main reason is that the computational efficiency of the FFT can be harnessed to characterize the cyclostationarity of a given signal or data set in an efficient manner. owner of general motors