System object: dsp.LPCToAutocorrelation
Package: dsp
Autocorrelation coefficients from LPC coefficients
AC = step(lpc2ac,A)
AC = step(lpc2ac,A,P)
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.
AC = step(lpc2ac,A) converts
the columns of the linear prediction coefficients, A, to autocorrelation coefficients, AC. The object assumes a prediction error
power of 1.
AC = step(lpc2ac,A,P) when
you set the PredictionErrorInputPort property to true,
converts the columns of the linear prediction coefficients, A,
to autocorrelation coefficients, AC. This conversion
uses P as the prediction error power. P must be a row vector with same number
of columns as A.
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.