Main Content

Estimate cross-spectral density

The `dsp.CrossSpectrumEstimator`

System object™ computes the cross-spectrum density of a signal, using the Welch's averaged
periodogram method.

To implement the cross-spectrum estimation object:

Create the

`dsp.CrossSpectrumEstimator`

object and set its properties.Call the object with arguments, as if it were a function.

To learn more about how System objects work, see What Are System Objects?

returns a
System object, `cse`

= dsp.CrossSpectrumEstimator`cse`

, that computes the cross-power spectrum of real or
complex signals using the periodogram method and Welch’s averaged, modified periodogram
method.

returns a `cse`

= dsp.CrossSpectrumEstimator(`Name,Value`

)`dsp.CrossSpectrumEstimator`

System object, `cse`

, with each specified property name set to the
specified value. Unspecified properties have default values.

To use an object function, specify the
System object as the first input argument. For
example, to release system resources of a System object named `obj`

, use
this syntax:

release(obj)

[1] Hayes, Monson H. *Statistical
Digital Signal Processing and Modeling.* Hoboken, NJ: John
Wiley & Sons, 1996.

[2] Kay, Steven M. *Modern Spectral
Estimation: Theory and Application.* Englewood Cliffs,
NJ: Prentice Hall, 1999.

[3] Stoica, Petre, and Randolph L. Moses.* Spectral
Analysis of Signals.* Englewood Cliffs, NJ: Prentice Hall,
2005.

[4] Welch, P. D. ''The Use of Fast Fourier Transform for the Estimation
of Power Spectra: A Method Based on Time Averaging Over Short Modified Periodograms.''
*IEEE Transactions on Audio and Electroacoustics*. Vol. 15, No. 2, June
1967, pp. 70–73.