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GAUSSIAN POWER SPECTRAL DENSITY PROCESSES ANALYSIS UNDER THE INFLUENCE OF UNCORRELATED NOISE

А. Yu. Narbekov, post-graduate student, RSREU, This email address is being protected from spambots. You need JavaScript enabled to view it.

Gaussian power spectral density processes analysis under the influence of uncorrelated noise is implemented. The aim is to recover signal power spectral density. For different recovery methods the dependencies of spectral power density standart estimates deviation from control spectral one in the presence of different additive noise power levels were obtained. For the recurrent correction method, the gain in comparison with the known solution amount to 6.7. For the power correction method, the gain in compared with the known decision amounted to 3.3. The best results were shown by recurrent correction method and noise power compensation method. The gain compared with power correction method amounted to 2.

Keywords: correlation matrix, eigenvalues, uncorrelated noise.

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