Convert Reflection Coefficients into Prediction Coefficients.

Convert reflection coefficients into linear prediction coefficients using Levinson recursion.


Updated 3 Apr 2009

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A = rc2lpc(K):

K is vector of reflection coefficients: K = [k1, k2, ..., kp].

A is vector of linear prediction coefficients: A = [1, a_p(1), a_p(2),..., a_p(p)]

If the second input argument is passed, i.e.,
A = rc2lpc(K,'matrix'),
then A is the matrix:
[1, 0, 0, 0,..............,0;
1, a_1(1),0,0.........,0;
1, a_2(1), a_2(2),....0;

Cite As

Nabin S Sharma (2023). Convert Reflection Coefficients into Prediction Coefficients. (, MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2008b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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