periodogram


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periodogram

[‚pir·ē′äd·ə‚gram]
(statistics)
A graph used in harmonic analysis of a series that oscillates, such as a time series consisting potentially of several cycles differing in length; the square of the amplitude or intensity for each curve covering a length of time is plotted against the lengths of the various curves.
References in periodicals archive ?
By averaging over a number of periodogram values (using Hamming weights in our case), a smoother energy spectrum can be obtained (Fig.
Since the sine and cosine functions are orthogonal, their squared coefficients can be added for each frequency to produce a periodogram where this periodogram value can be interpreted in variance terms at a given frequency.
The power spectral density (PSD) for each segment was estimated using the periodogram method (Proakis and Manolakis, 1996).
was calculated by the periodogram method, which is the windowed discrete Fourier transform (DFT) of the biased estimate of autocorrelation sequence.
The results of the Fourier analysis showed that the higher value of the periodogram and the higher spectral density corresponded to a period between 7 days and 8 days (Fig.
9) Smoothed periodogram for growth rate of real premiums exhibits a significant peak, suggesting the same length of the dominant cycle (around 8.
2005): "A Spectral Analysis of the Sunspot Time Series Using the Periodogram," ECE: 538, Statistical Signal Processing 1, Portland State University.
To test the null hypothesis that a series follows white-noise series, I fitted exponential distribution to periodogram distribution (Kolmogorov-Smirnov test).
c]-selected model involved the following steps: 1) verification of the resemblance of residuals to white noise (ACF plots, Ljung-Box test, cumulative periodogram test); 2) tests on the normality of residuals (Jarque-Bera and Shapiro-Wilks tests); and 3) confirmation of model stationarity, invertibility, and parameter redundancy (Shapiro et al.
Geweke and Porter-Hudak (1983) showed that using a periodogram estimate, the least squares estimate of d using the above regression is distributed in large samples if the number of observations [n.