Spectral Density Estimation Using Sharpened Periodograms

Authors:
Fang Yao;T.C.M. Lee
Affiliations:
Toronto Univ., Toronto;-
Venue:
IEEE Transactions on Signal Processing
Year:
2007

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Nonparametric cepstrum estimation via optimal risk smoothing

IEEE Transactions on Signal Processing

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Abstract

This correspondence introduces the use of sharpened periodograms for spectral density estimation. It is shown analytically that spectrum estimates obtained from smoothing the sharpened periodograms enjoy higher order bias reduction when compared with the ordinary smoothed periodogram estimates. The promising numerical performances of using sharpened periodograms for spectral density estimation are illustrated via numerical experiments.