This paper presents modulation classification method capable of classifying<br />MFSK digital signals without a priori information using modified covariance<br />method. This method using for calculation features for FSK modulation<br />should have a good properties of sensitive with FSK modulation index and<br />insensitive with signal to noise ratio SNR variation. The numerical<br />simulations and investigation of the performance by the support vectors<br />machine one against all (SVM-OAA) as a classifier for classifying 6 digitally<br />modulated signals which gives probability of correction classification up to<br />85.85 at SNR=-15dB.
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