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A unified view of multitaper multivariate spectral estimation

多窗多变量谱估计的统一视角

The orthogonal multitaper framework for cross‐spectral estimators provides a simple unifying structure for determining the corresponding statistical properties. Here cross‐spectral estimators are represented by a weighted average of orthogonally‐tapered cross‐periodograms, with the weights corresponding to a set of rescaled eigenvalues. Such a structure not only encompasses the Thomson estimators, using Slepian and sine tapers, but also Welch's weighted overlapped segment…

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Statistical Properties and Uses of the Wavelet Variance Estimator for the Scale Analysis of Time Series

时间序列尺度分析中小波方差估计量的统计性质与应用

Many physical processes are an amalgam of components operating on different scales, and scientific questions about observed data are often inherently linked to understanding the behavior at different scales. We explore time-scale properties of time series through the variance at different scales derived using wavelet methods. The great advantage of wavelet methods over ad hoc modifications of existing techniques is that wavelets provide exact scale-based decomposition…

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The effective bandwidth of a multitaper spectral estimator

多窗谱估计量的有效带宽

The bandwidth of a spectral estimator is a measure of the minimum separation in frequency between approximately uncorrelated spectral estimates. We determine an effective bandwidth measure for multitaper spectral estimators, a relatively new and very powerful class of spectral estimators proving to be very valuable whenever the spectrum of interest is detailed and/ or varies rapidly with a large dynamic range. The multitaper spectral estimator is the average of several…

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The Effective Bandwidth of a Multitaper Spectral Estimator

多窗谱估计量的有效带宽

The bandwidth of a spectral estimator is a measure of the minimum separation in frequency between approximately uncorrelated spectral estimates. We determine an effective bandwidth measure for multitaper spectral estimators, a relatively new and very powerful class of spectral estimators proving to be very valuable whenever the spectrum of interest is detailed and/ or varies rapidly with a large dynamic range. The multitaper spectral estimator is the average of several…

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Asymptotic Percentage Points for Siegel's Test Statistic for Compound Periodicities

Siegel 复合周期性检验统计量的渐近分位点

Fisher's test for a periodicity at a single Fourier frequency is often inadequate in practice where it is necessary to test for compound periodicities, i.e. spectral lines at several frequencies. Siegel (1980) derived a test statistic for compound periodicity and provided percentage points for m not exceeding 50, where N = 2m + 1 is the length of the time series. Here the distribution of the test statistic is rewritten to enable computation of exact percentage points for m…

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Asymptotic percentage points for Siegel's test statistic for compound periodicities

Siegel 复合周期性检验统计量的渐近分位点

Fisher's test for a periodicity at a single Fourier frequency is often inadequate in practice where it is necessary to test for compound periodicities, i.e. spectral lines at several frequencies. Siegel (1980) derived a test statistic for compound periodicity and provided percentage points for m not exceeding 50, where N = 2m + 1 is the length of the time series. Here the distribution of the test statistic is rewritten to enable computation of exact percentage points for m…

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Estimating the statistical bandwidth of a time series

时间序列统计带宽的估计

In many time series and signal processing applications such as spectral estimation, signal-to-noise estimation and frequency response estimation it is imperative to have a good estimate of the bandwidth of the time series. In many scientific applications deconvolution is carried out over the signal-dominated part of the spectrum resulting in a spectrum which is dominantly unimodal, and hence a technique like that used for smoothing windows can be used to define the…

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On Phase-Lag Estimation from Non-Gaussian Time Series

非高斯时间序列的相位滞后估计

An important problem in the physical sciences is estimation of the innovations of a noninvertible linear process. Here the problem of deconvolving such a time series containing a phase-lead is investigated. A compensating phase-lag filter is sought, and is estimated by maximization of a chosen statistic or projection index. It is demonstrated by simulation that a statistic which is superior to another in the ideal case of a full-band time series can be substantially inferior…

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On phase-lag estimation from non-Gaussian time series

非高斯时间序列的相位滞后估计

An important problem in the physical sciences is estimation of the innovations of a noninvertible linear process. Here the problem of deconvolving such a time series containing a phase-lead is investigated. A compensating phase-lag filter is sought, and is estimated by maximization of a chosen statistic or projection index. It is demonstrated by simulation that a statistic which is superior to another in the ideal case of a full-band time series can be substantially inferior…

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Maximum likelihood estimation of the parameters of the generalized extreme-value distribution

广义极值分布参数的极大似然估计

Explicit expressions are provided for the information matrix of the three-parameter generalized extreme-value distribution. A condition for regular estimation is established.

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