System object: dsp.BurgAREstimator
Package: dsp
Normalized estimate of AR model parameter
[A,G] = step(burgarest,X)
[K,G] = step(burgarest,X)
[A,K,G] = step(burgarest,X)
Starting in R2016b, instead of using the step method
to perform the operation defined by the System
object™, you can
call the object with arguments, as if it were a function. For example, y
= step(obj,x) and y = obj(x) perform
equivalent operations.
[A,G] = step(burgarest,X) computes
the normalized estimate of the AR
model parameters to fit the input, X,
in the least square sense. The input X must be
a column vector. Output A is a
column vector that contains the normalized estimate of the AR model polynomial coefficients in descending
powers of z. The scalar G
is the AR model gain.
[K,G] = step(burgarest,X) returns K, a column vector containing the AR model reflection coefficients when you
set the KOutputPort property to true and
the AOutputPort property to false.
[A,K,G] = step(burgarest,X) returns
the AR model polynomial coefficients A, reflection coefficients K, and the scalar gain G
when the AOutputPort and KOutputPort properties
are both true.
obj specifies the System
object on
which to run this step method.
The object performs an initialization the first time the step method
is executed. This initialization locks nontunable
properties (MATLAB) and input specifications, such as dimensions, complexity,
and data type of the input data. If you change a nontunable property
or an input specification, the System
object issues an error.
To change nontunable properties or inputs, you must first call the release method
to unlock the object.