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1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 | function [A] = ar2poly(A);
% converts autoregressive parameters into AR polymials
% Multiple polynomials can be converted.
% function [A] = ar2poly(AR);
%
% INPUT:
% AR AR parameters, each row represents one set of AR parameters
%
% OUTPUT
% A denominator polynom
%
%
% see also ACOVF ACORF DURLEV RC2AR FILTER FREQZ ZPLANE
%
% REFERENCES:
% P.J. Brockwell and R. A. Davis "Time Series: Theory and Methods", 2nd ed. Springer, 1991.
% S. Haykin "Adaptive Filter Theory" 3rd ed. Prentice Hall, 1996.
% M.B. Priestley "Spectral Analysis and Time Series" Academic Press, 1981.
% W.S. Wei "Time Series Analysis" Addison Wesley, 1990.
% $Id: ar2poly.m 5090 2008-06-05 08:12:04Z schloegl $
% Copyright (C) 1998-2002,2008 by Alois Schloegl <a.schloegl@ieee.org>
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program. If not, see <http://www.gnu.org/licenses/>.
% Inititialization
[lr,lc]=size(A);
A = [ones(size(A,1),1),-A];
|