Surrogate data generation technology using the SSA method for enhancing the effectiveness of signal spectral analysis
The problem of enhancing the effectiveness of spectral analysis of signals observed against the background of noise has been considered by using the Root-MUSIC method and the surrogate data technology that is free from surrogate noise. The surrogate data was obtained by using the singular spectrum analysis method (SSA). The application of this technology was shown to be effective in the range of both small and large signal-to-noise ratios when the frequencies of signal components are a multiple of the observation sampling frequency.
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