Convert autocorrelation sequence to polynomial of prediction filter
a = ac2poly(r) [a,e] = ac2poly(r)
Autocorrelation sequence to be represented with an FIR linear prediction filter
Output polynomial representing the linear prediction filter e/(a(1) + a(2)z + a(3)z^2 .. a(N)z^N-1)
Output scaling for the lienar prediction filter
Function ac2poly() finds the best fit polynomial for FIR linear prediction filter a, corresponding to the autocorrelation sequence r. a is the same length as r, and is normalized with the first element. So a(1) = 1. Author: Parthe Pandit
Kay, Steven M. Modern Spectral Estimation. Englewood Cliffs, NJ: Prentice-Hall, 1988.