LPC to/from RC
Convert linear prediction coefficients to reflection coefficients or reflection coefficients to linear prediction coefficients
Libraries:
DSP System Toolbox /
Estimation /
Linear Prediction
Description
The LPC to/from RC block can convert linear prediction coefficients (LPCs) to
reflection coefficients (RCs) or reflection coefficients to linear prediction
coefficients. Set the Type of conversion parameter to
LPC to RC
or RC to LPC
to
select the domain for converting your coefficients. For more information, see Algorithm.
Consider a signal, x (n), as the input to an FIR analysis filter represented by LPC coefficients. The output of the analysis filter, e (n), is known as the prediction error signal. The power of this error signal is denoted by P. When the zero lag autocorrelation coefficient of x (n) is 1, the autocorrelation sequence and prediction error power are said to be normalized.
Ports
Input
Output
Parameters
Block Characteristics
Data Types 

Direct Feedthrough 

Multidimensional Signals 

VariableSize Signals 

ZeroCrossing Detection 

Algorithms
References
[1] Makhoul, J Linear Prediction: A tutorial review. Proc. IEEE. 63, 63, 56 (1975).
[2] Markel, J.D. and A. H. Gray, Jr., Linear Prediction of Speech. New York, SpringerVerlag, 1976.
Extended Capabilities
Version History
Introduced before R2006a