spectral density

The noise power spectral density in the frequency range of interest.

The value of the energy spectral density at is then estimated to be .

Many authors use this equality to actually define the power spectral density.

Specific applications may be concerned with changes in the mean, variance, correlation, or spectral density of the process.

White noise is a random signal (or process) with a flat power spectral density.

The peaks in the power spectral density curve were still in four families.

More generally, similar techniques may be used to estimate a time-varying spectral density.

It is one of a number of approaches to spectral density estimation.

Also, we are defining the power spectral densities as follows:

Second, the sample spectrum which deviates from the assumed spectral density is another one.

Thus, the power spectral density function is a set of Dirac delta functions.

It is immediate to realize that the spectral density function is real and positive.

The spectral density function of long-range dependence follows a power law near the origin.

This limits the satellite downlink power spectral density in case the video signal is lost.

Most "frequency" graphs really display only the spectral density.

Following is a partial list of spectral density estimation techniques:

Consider the well known power spectral density and the signal auto-correlation function in the case of a stationary process.

The spectral density of these switching waveforms has energy concentrated at relatively high frequencies.

Spectral density is a function of frequency, not a function of time.

Estimate the power spectral density matrix at discrete frequencies .

The Dryden model has rational power spectral densities for each velocity component.

The periodogram is an estimate of the spectral density of a signal.

Intuitively speaking, the spectral density characterizes the frequency content of the signal.

Eb/N0 (energy per bit relative to noise power spectral density)

Energy spectral density describes how the energy of a signal or a time series is distributed with frequency.