power spectral density वाक्य
उदाहरण वाक्य
मोबाइल
- ;Power : Power ( physics ), electric power, motive power, transmitter output, effective radiated power, power spectral density signal
- These power spectral densities give the stochastic process spatial variations, but any temporal variations rely on vehicle motion through the gust velocity field.
- But it offers higher frequency resolution in the resulting power spectral density ( PSD ) than the fast Fourier transform ( FFT )-based methods.
- The total noise power, as found by integrating the power spectral density over all frequencies, remains constant regardless of the amount of phase noise.
- Random signals and noise : probability, random variables, probability density function, autocorrelation, power spectral density, function analogy between vectors & functions.
- Both of these models define gusts in terms of power spectral densities for the linear and angular velocity components parameterized by turbulence length scales and intensities.
- The cross-spectral density and the power spectral density are defined as the Fourier transforms of the cross-correlation and the autocorrelation signals, respectively.
- So, a filter with a white noise input that outputs a random process with the von K�rm�n model's power spectral densities can only be approximated.
- The combination of these two parameters determine the shape of the power spectral densities and therefore the quality of the models'fit to spectra of observed turbulence.
- The noise power spectral density generated by all these sources ( P / B ) can be described by assigning to the noise a temperature T as defined above:
- The speed with which the vehicle is moving through the gust field " V " allows conversion of these power spectral densities to different types of frequencies,
- The combination of these two parameters determines the shape of the power spectral densities and therefore the quality of the model's fit to spectra of observed turbulence.
- The combination of these two parameters determine the shape of the power spectral densities and therefore the quality of the model's fit to spectra of observed turbulence.
- In Fig . 1a and Fig . 1c the realization of noise with a uniform power spectral density ( white noise ) and a determinate period process are presented.
- The power spectral density of the stochastic force F ( \ omega ) can be derived by using the equipartition theorem and the fact that Brownian collisions are completely uncorrelated:
- The power spectrum of this example is not continuous, and therefore does not have a derivative, and therefore this signal does not have a power spectral density function.
- This means that an exact filter can be formed that takes white noise as an input and outputs a random process with the Dryden model's power spectral densities.
- In this case, one can define S ( f ), the power spectral density of x ( t ) \,, by taking the averaged derivative of F.
- A ) Facet feedback and wavelength resonances in the optical emission spectrum of a multimode Fabry-Perot laser; b ) power spectral density of a superluminescent light emitting diode.
- Driving these filters with independent, unit variance, band-limited white noise yields outputs with power spectral densities that match the spectra of the velocity components of the Dryden model.
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