autocorrelation function वाक्य
उदाहरण वाक्य
मोबाइल
- It contrasts with the autocorrelation function, which does not control for other lags.
- The autocorrelation function is a statistic defined as
- This autocorrelation function has a peak at the origin, where the original source was.
- Thus { x _ n } cannot be distinguished from white noise using the autocorrelation function.
- Given the time series x [ t ], its non-stationary autocorrelation function is given by
- Let the aperiodic autocorrelation function of the sequence "'x "'be defined by
- These algorithms derive from the exact theoretical relation between the partial autocorrelation function and the autocorrelation function.
- These algorithms derive from the exact theoretical relation between the partial autocorrelation function and the autocorrelation function.
- Here, \ ddot ( 0 ) is the second derivative of the autocorrelation function evaluated at zero.
- The Siegert equation relates the second-order autocorrelation function with the first-order autocorrelation function as follows:
- The Siegert equation relates the second-order autocorrelation function with the first-order autocorrelation function as follows:
- The maximum of the autocorrelation function of \ scriptstyle s _ { c'} is reached at 0.
- As the autocorrelation function and the power spectra form a Fourier pair, complementary sequences also have complementary spectra.
- These fluctuations are traditionally described by the two dimensional autocorrelation function, or by the corresponding Fourier power spectrum.
- A stationary random process does have an autocorrelation function and hence a spectral density according to the Wiener Khinchin theorem.
- Specifically, for an AR ( 1 ) process, the sample autocorrelation function should have an exponentially decreasing appearance.
- We do this by placing the 95 % confidence interval for the sample autocorrelation function on the sample autocorrelation plot.
- This way, x ( t ) is a cyclostationary signal with period T _ 0 and cyclic autocorrelation function:
- The degree of voicing is determined by the value of the normalized autocorrelation function at a shift of one pitch period.
- Through analysis of the resultant exponential autocorrelation function, average particle size can be calculated as well as a polydispersity index.
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