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Burg spectrum


Hs = spectrum.burg
Hs = spectrum.burg(order)


    Note:   The use of spectrum.burg is not recommended. Use pburg instead.

Hs = spectrum.burg returns a default Burg spectrum object, Hs, that defines the parameters for the Burg parametric spectral estimation algorithm. The Burg algorithm estimates the spectral content by fitting an autoregressive (AR) linear prediction filter model of a given order to the signal.

Hs = spectrum.burg(order) returns a spectrum object, Hs with the specified order. The default value for order is 4.

    Note   See pburg for more information on the Burg algorithm.


Define a fourth order autoregressive model and view its power spectral density using the Burg algorithm.

x=filter(1,[1 1/2 1/3 1/4 1/5],x);   % 4th order AR filter
Hs=spectrum.burg;                    % 4th order AR model

See Also

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Introduced before R2006a

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