From 47535ab08afeb48fbb00f03e68d6ff973cf62cbd Mon Sep 17 00:00:00 2001 From: Abhinav Dronamraju Date: Fri, 10 Nov 2017 14:59:26 +0530 Subject: Functions added --- help/en_US/scilab_en_US_help/ac2poly.html | 81 ------------------------------- 1 file changed, 81 deletions(-) delete mode 100644 help/en_US/scilab_en_US_help/ac2poly.html (limited to 'help/en_US/scilab_en_US_help/ac2poly.html') diff --git a/help/en_US/scilab_en_US_help/ac2poly.html b/help/en_US/scilab_en_US_help/ac2poly.html deleted file mode 100644 index c7c3f27..0000000 --- a/help/en_US/scilab_en_US_help/ac2poly.html +++ /dev/null @@ -1,81 +0,0 @@ - - - ac2poly - - - -

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ac2poly

Convert autocorrelation sequence to polynomial of prediction filter

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Calling Sequence

a = ac2poly(r)
-[a,e] = ac2poly(r)

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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

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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

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Bibliography

Kay, Steven M. Modern Spectral Estimation. Englewood Cliffs, NJ: Prentice-Hall, 1988.

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