System object: dsp.LPCToCepstral
Cepstral coefficients from columns of input LPC coefficients
CC = step(H,A)
CC = step(H,A,P)
CC = step(H,A) computes the cepstral coefficients, CC, from the columns of input linear prediction coefficients, A. The object assumes the prediction error power is 1.
CC = step(H,A,P) when you set the PredictionErrorInputPort property to true, computes the cepstral coefficients, CC, from the columns of input linear prediction coefficients, A. This conversion uses P as the prediction error power.
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.