| 11. | Thus the noise temperature is proportional to the power spectral density of the noise, P / B.
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| 12. | Many combinations of length scale and turbulence intensity give realistic power spectral densities in the desired frequency ranges.
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| 13. | Random signals and noise : probability, random variables, probability density function, autocorrelation, power spectral density.
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| 14. | Thermal noise is approximately white, meaning that its power spectral density is nearly equal throughout the frequency spectrum.
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| 15. | For power spectral densities that decay less steeply than as, the integral in the numerator of does not converge.
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| 16. | Risken ) still use the non-normalized Fourier transform in a formal way to formulate a definition of the power spectral density
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| 17. | Meaning that Brownian motion is the integral of the white noise dW ( t ), whose power spectral density is flat:
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| 18. | Metastable behavior occurs at the high frequency domain known as bandwidth ( its power spectral density ) is inversely proportional to its frequency.
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| 19. | :It sounds like you have been given the power spectral density, discretely sampled in frequency ( see discrete fourier transform ).
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| 20. | If the signal being analyzed can be considered a stationary process, the STFT is a good smoothed estimate of its power spectral density.
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