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