From 2c5902040b960ccca8d0b51c58c00fc114a09518 Mon Sep 17 00:00:00 2001 From: Abhinav Dronamraju Date: Thu, 9 Nov 2017 15:24:34 +0530 Subject: czt, dst1, fwht, hilbert1, ifht, ifwht, invfreq, rceps --- help/en_US/scilab_en_US_help/ac2poly.html | 14 +++++++------- 1 file changed, 7 insertions(+), 7 deletions(-) (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 index ead05e8..c7c3f27 100644 --- a/help/en_US/scilab_en_US_help/ac2poly.html +++ b/help/en_US/scilab_en_US_help/ac2poly.html @@ -12,11 +12,11 @@
- << FOSSEE Signal Processing Toolbox + << FOSSEE Signal Processing Toolbox - FOSSEE Signal Processing Toolbox + FOSSEE Signal Processing Toolbox @@ -29,7 +29,7 @@ - FOSSEE Signal Processing Toolbox >> FOSSEE Signal Processing Toolbox > ac2poly + FOSSEE Signal Processing Toolbox >> FOSSEE Signal Processing Toolbox > ac2poly

ac2poly

@@ -49,8 +49,8 @@

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: +

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

@@ -63,11 +63,11 @@ Parthe Pandit

Report an issue
- << FOSSEE Signal Processing Toolbox + << FOSSEE Signal Processing Toolbox - FOSSEE Signal Processing Toolbox + FOSSEE Signal Processing Toolbox -- cgit 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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- << FOSSEE Signal Processing Toolbox - - - FOSSEE Signal Processing Toolbox - - - ac2rc >> - -
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- - - - FOSSEE Signal Processing Toolbox >> FOSSEE Signal Processing Toolbox > ac2poly - -

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ac2poly

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Convert autocorrelation sequence to polynomial of prediction filter

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Calling Sequence

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

Parameters

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r: -

Autocorrelation sequence to be represented with an FIR linear prediction filter

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a: -

Output polynomial representing the linear prediction filter e/(a(1) + a(2)z + a(3)z^2 .. a(N)z^N-1)

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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

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

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Report an issue
- << FOSSEE Signal Processing Toolbox - - - FOSSEE Signal Processing Toolbox - - - ac2rc >> - -
-
-
- - -- cgit