Title :
Spectral Density Estimation Using Sharpened Periodograms
Author :
Yao, Fang ; Lee, Thomas C M
Author_Institution :
Toronto Univ., Toronto
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;
Journal_Title :
Signal Processing, IEEE Transactions on
DOI :
10.1109/TSP.2007.896297