From c0c0582462720ed597b00e116506570577614e89 Mon Sep 17 00:00:00 2001 From: shamikam Date: Tue, 7 Nov 2017 15:59:48 +0530 Subject: initial commit --- help/en_US/ac2poly.xml | 62 ++++++++++++++++++++++++++++++++++++++++++++++++++ 1 file changed, 62 insertions(+) create mode 100644 help/en_US/ac2poly.xml (limited to 'help/en_US/ac2poly.xml') diff --git a/help/en_US/ac2poly.xml b/help/en_US/ac2poly.xml new file mode 100644 index 0000000..e90759d --- /dev/null +++ b/help/en_US/ac2poly.xml @@ -0,0 +1,62 @@ + + + + + + + + ac2poly + Convert autocorrelation sequence to polynomial of prediction filter + + + + + Calling Sequence + + a = ac2poly(r) + [a,e] = ac2poly(r) + + + + + + Parameters + + r: + Autocorrelation sequence to be represented with an FIR linear prediction filter + a: + Output polynomial representing the linear prediction filter e/(a(1) + a(2)z + a(3)z^2 .. a(N)z^N-1) + e: + Output scaling for the lienar prediction filter + + + + + Description + +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 + + + + + + + Bibliography + Kay, Steven M. Modern Spectral Estimation. Englewood Cliffs, NJ: Prentice-Hall, 1988. + + -- cgit