Complex-valued tapers

The spectral estimation method based on the average of short, tapered periodograms is re-examined. The bias of such estimators is typically O(1/b/sup 2/), where b is the length of the short blocks. Much of the current research on multitapering has been focusing on reducing the proportionality constant implicit in the term O(1/b/sup 2/). In this letter, we show how-with the use of complex-valued tapers-the bias of the spectral estimator can be reduced by orders of magnitude becoming O(1/b/sup p/) for (possibly) high p. Expressions for the estimators' variance and MSE are presented with an aim toward optimal estimation. An automatic method of optimally choosing the block size b is given. Finally, the usage of multiple complex tapers is proposed in an effort to reduce sidelobe size and improve finite-sample performance.

[1]  D. Thomson,et al.  Spectrum estimation and harmonic analysis , 1982, Proceedings of the IEEE.

[2]  Anthony L Bertapelle Spectral Analysis of Time Series. , 1979 .

[3]  M. Rosenblatt Stationary sequences and random fields , 1985 .

[4]  Richard A. Davis,et al.  Time Series: Theory and Methods , 2013 .

[5]  D. Brillinger Time series - data analysis and theory , 1981, Classics in applied mathematics.

[6]  A. Walden A unified view of multitaper multivariate spectral estimation , 2000 .

[7]  Joseph P. Romano,et al.  BIAS‐CORRECTED NONPARAMETRIC SPECTRAL ESTIMATION , 1995 .

[8]  M. Bartlett Periodogram analysis and continuous spectra. , 1950, Biometrika.

[9]  D. Politis On Nonparametric Function Estimation with Infinite-Order Flat-Top Kernels , 2000 .

[10]  Kurt S. Riedel,et al.  Minimum bias multiple taper spectral estimation , 2018, IEEE Trans. Signal Process..

[11]  D. B. Preston Spectral Analysis and Time Series , 1983 .

[12]  B. Harris Spectral Analysis Of Time Series , 1967 .

[13]  I. Zurbenko The spectral analysis of time series , 1986 .

[14]  W. R. Schucany,et al.  Adaptive Bandwidth Choice for Kernel Regression , 1995 .

[15]  David R. Brillinger,et al.  Time Series: Data Analysis and Theory. , 1982 .

[16]  Athanasios Papoulis,et al.  Minimum-bias windows for high-resolution spectral estimates , 1973, IEEE Trans. Inf. Theory.

[17]  Bruce W. Schmeiser,et al.  Asymptotic and Finite-Sample Correlations Between Obm Estimators , 1993, Proceedings of 1993 Winter Simulation Conference - (WSC '93).

[18]  Richard A. Davis,et al.  Time Series: Theory and Methods (2nd ed.). , 1992 .

[19]  Rainer Dahlhaus,et al.  On a spectral density estimate obtained by averaging periodograms , 1985 .

[20]  P. Welch The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .