DocumentCode :
1099814
Title :
Spectral Density Estimation Using Sharpened Periodograms
Author :
Yao, Fang ; Lee, Thomas C M
Author_Institution :
Toronto Univ., Toronto
Volume :
55
Issue :
9
fYear :
2007
Firstpage :
4711
Lastpage :
4716
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.
Keywords :
spectral analysis; bias reduction; sharpened periodogram; spectral density estimation; Data preprocessing; Kernel; Probability; Smoothing methods; Statistics; Bias reduction; data sharpening; periodogram smoothing; sharpened periodograms; spectral density estimation; unbiased risk estimation;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/TSP.2007.896297
Filename :
4291877
Link To Document :
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