:It sounds like you have been given the power spectral density, discretely sampled in frequency ( see discrete fourier transform ).
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This relation between the form of the dissipation and the spectral density of the fluctuation is the essence of the fluctuation-dissipation theorem.
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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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;Power : Power ( physics ), electric power, motive power, transmitter output, effective radiated power, power spectral density signal
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A finite amount of light at exactly one frequency ( or in exactly one direction for that matter ) has an infinite spectral density.
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These power spectral densities give the stochastic process spatial variations, but any temporal variations rely on vehicle motion through the gust velocity field.
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By discarding the phase information it is possible to simplify the information in a frequency domain representation to generate a frequency spectrum or spectral density.
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In the modern era, it has a " period " somewhere between four and twelve years and a peak spectral density around five years.
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The goal of spectral density estimation is to non-parametric approaches, and may be based on time-domain or frequency-domain analysis.
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But it offers higher frequency resolution in the resulting power spectral density ( PSD ) than the fast Fourier transform ( FFT )-based methods.
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