Author(s)

Nourédine Yahya Bey

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In this paper, we propose extraction of signals buried in non-ergodic processes. It is shown that the proposed method extracts signals defined in a non-ergodic framework without averaging or smoothing in the direct time or frequency domain. Extraction is achieved independently of the nature of noise, correlated or not with the signal, colored or white, Gaussian or not, and locations of its spectral extent. Performances of the pro-posed extraction method and comparative results with other methods are demonstrated via experimental Doppler velocimetry measurements.

Buried Signals, Stationary Non-Ergodic Processes, Spectral Analysis, White Noise, Colored Noise, Correlated Noise, Doppler Velocimetry

N. Bey, "Extraction of Signals Buried in Noise: Non-Ergodic Processes," International Journal of Communications, Network and System Sciences, Vol. 3 No. 12, 2010, pp. 907-915. doi: 10.4236/ijcns.2010.312124.