System object: dsp.LPCToRC
Package: dsp
Convert columns of linear prediction coefficients to reflection coefficients
[K,P] = step(lpc2rc,A)
K = step(lpc2rc,A)
[..., S] = step(lpc2rc,A)
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.
[K,P] = step(lpc2rc,A) converts
the columns of linear prediction coefficients, A,
to reflection coefficients K and
outputs the normalized prediction error power, P.
K = step(lpc2rc,A) when
you set the PredictionErrorOutputPort property to false,
converts the columns of linear prediction coefficients, A, to reflection coefficients K.
[..., S] = step(lpc2rc,A) also
outputs the LPC filter stability, S, when you set the ExceptionOutputPort property
to 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.