Combined Geometric and Algebraic Averaging for Power Spectral Estimation

G. Velikic, B. Razavi, M. Bocko, T. Numanoglu, and E. Titlebaum (USA)

Keywords

Periodogram, Fourier Transform, Spectral analyses, Detec tion and estimation

Abstract

Algebraic averaging is widely used in nonparametric meth ods of power spectral estimation. Geometric averaging has been proposed as a nonlinear nonparametric method that may result in lesser variance and bias. In this paper we pro posed two nonparametric power spectral estimation meth ods that employ geometric averaging in conjunction with algebraic averaging. The first method gives improvements in frequency resolution and dynamic range for periodic sig nals. The second method presented enhances frequency resolution for closely spaced frequencies.

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