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Cross-spectrum : ウィキペディア英語版
Cross-spectrum

In time series analysis, the cross-spectrum is used as part of a frequency domain analysis of the cross-correlation or cross-covariance between two time series.
== Definition ==
Let (X_t,Y_t) represent a pair of stochastic processes that are jointly wide sense stationary with autocovariance functions \gamma_ and \gamma_ and cross-covariance function \gamma_. Then the cross-spectrum \Gamma_ is defined as the Fourier transform of \gamma_
:
\Gamma_(f)= \mathcal\(f) = \sum_^\infty \,\gamma_(\tau) \,e^ ,

where
: \gamma_(\tau) = \operatorname(- \mu_x)(Y_ - \mu_y) ) .
The cross-spectrum has representations as a decomposition into (i) its real part (co-spectrum) and its imaginary part (quadrature spectrum)
:
\Gamma_(f)= \Lambda_(f) + i \Psi_(f) ,

and (ii) in polar coordinates
:
\Gamma_(f)= A_(f) \,e^ .

Here, the amplitude spectrum A_ is given by
: A_(f)= (\Lambda_(f)^2 + \Psi_(f)^2)^\frac ,
and the phase spectrum \Phi_ is given by
: \begin
\tan^ ( \Psi_(f) / \Lambda_(f) ) & \text \Psi_(f) \ne 0 \wedge \Lambda_(f) \ne 0 \\
0 & \text \Psi_(f) = 0 \text \Lambda_(f) > 0 \\
\pm \pi & \text \Psi_(f) = 0 \text \Lambda_(f) < 0 \\
\pi/2 & \text \Psi_(f) > 0 \text \Lambda_(f) = 0 \\
-\pi/2 & \text \Psi_(f) < 0 \text \Lambda_(f) = 0 \\
\end

抄文引用元・出典: フリー百科事典『 ウィキペディア(Wikipedia)
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