Reducing the bias of multitaper spectrum estimates
暂无分享,去创建一个
[1] R. Parker,et al. Confidence intervals for earthquake source parameters , 2007 .
[2] Jonathan Berger,et al. Ambient Earth noise: A survey of the Global Seismographic Network , 2004 .
[3] S. Constable,et al. Observing geomagnetic induction in magnetic satellite measurements and associated implications for mantle conductivity , 2004 .
[4] Peter M. Shearer,et al. Earthquake source scaling and self-similarity estimation by stacking P and S spectra , 2004 .
[5] R. Parker,et al. Revised magnetic power spectrum of the oceanic crust , 2002 .
[6] Frederik J. Simons,et al. Isostatic response of the Australian lithosphere: Estimation of effective elastic thickness and anisotropy using multitaper spectral analysis , 2000 .
[7] David G. T. Denison,et al. Multitaper testing of spectral lines and the detection of the solar rotation frequency and its harmonics , 1999 .
[8] On the coherence of ground motion in the San Fernando Valley , 1996 .
[9] A. Walden,et al. Spectral analysis for physical applications : multitaper and conventional univariate techniques , 1996 .
[10] Kurt S. Riedel,et al. Minimum bias multiple taper spectral estimation , 2018, IEEE Trans. Signal Process..
[11] Rachel E. Abercrombie,et al. Earthquake source scaling relationships from −1 to 5 ML using seismograms recorded at 2.5‐km depth , 1995 .
[12] Jonathan M. Lees,et al. Reshaping spectrum estimates by removing periodic noise: Application to seismic spectral ratios , 1995 .
[13] Charles L. Lawson,et al. Solving least squares problems , 1976, Classics in applied mathematics.
[14] David J. Thomson,et al. An overview of multiple-window and quadratic-inverse spectrum estimation methods , 1994, Proceedings of ICASSP '94. IEEE International Conference on Acoustics, Speech and Signal Processing.
[15] David J. Thomson,et al. Spectral estimation of plasma fluctuations. I. Comparison of methods , 1994, 1804.00003.
[16] P. J. Fox,et al. The East Pacific Rise and its flanks 8–18° N: History of segmentation, propagation and spreading direction based on SeaMARC II and Sea Beam studies , 1992 .
[17] Thomas P. Bronez,et al. On the performance advantage of multitaper spectral analysis , 1992, IEEE Trans. Signal Process..
[18] Jeffrey Park,et al. Envelope estimation for quasi-periodic geophysical signals in noise; a multitaper approach , 1992 .
[19] E. Sembera,et al. Coherence of seismic body waves from local events as measured by a small‐aperture array , 1991 .
[20] D. Thomson. Quadratic-inverse spectrum estimates: applications to palaeoclimatology , 1990, Philosophical Transactions of the Royal Society of London. Series A: Physical and Engineering Sciences.
[21] C. Lorius,et al. Ice-core record of atmospheric methane over the past 160,000 years , 1990, Nature.
[22] Thomas H. Jordan,et al. Stochastic Modeling of Seafloor Morphology: Inversion of Sea Beam Data for Second-Order Statistics , 1988 .
[23] D. Thomson,et al. Multiple‐taper spectral analysis of terrestrial free oscillations: part I , 1987 .
[24] Frank L. Vernon,et al. Multitaper spectral analysis of high-frequency seismograms , 1987 .
[25] D. B. Preston. Spectral Analysis and Time Series , 1983 .
[26] D. Thomson,et al. Spectrum estimation and harmonic analysis , 1982, Proceedings of the IEEE.
[27] J. Taylor. An Introduction to Error Analysis , 1982 .
[28] D. Slepian. Prolate spheroidal wave functions, fourier analysis, and uncertainty — V: the discrete case , 1978, The Bell System Technical Journal.
[29] F. Harris. On the use of windows for harmonic analysis with the discrete Fourier transform , 1978, Proceedings of the IEEE.
[30] T. J. Rivlin. The Chebyshev polynomials , 1974 .
[31] F. Gilbert. Excitation of the Normal Modes of the Earth by Earthquake Sources , 1971 .
[32] J. Brune. Tectonic stress and the spectra of seismic shear waves from earthquakes , 1970 .
[33] J. Doob. Stochastic processes , 1953 .
[34] Harald Cramer,et al. On the Theory of Stationary Random Processes , 1940 .
[35] Arthur Schuster,et al. On the investigation of hidden periodicities with application to a supposed 26 day period of meteorological phenomena , 1898 .