📄 parcor.m
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function [PARCOR,ARP, PE] = parcor(AutoCov);% estimates partial autocorrelation coefficients % Multiple channels can be used (one per row).%% [PARCOR, AR, PE] = parcor(AutoCov); % calculates Partial autocorrelation, autoregressive coefficients and residual error variance from the Autocorrelation function. %% [PARCOR] = parcor(acovf(x,p)); % calculates the Partial Autocorrelation coefficients of the data series x up to order p%% INPUT:% AutoCov Autocorrelation function for lag=0:P%% OUTPUT% AR autoregressive model parameter % PARCOR partial correlation coefficients (= -reflection coefficients)% PE remaining error variance%% All input and output parameters are organized in rows, one row % corresponds to the parameters of one channel. % The PARCOR coefficients are the negative reflection coefficients. % A significance test is implemented in PACF.%% see also: PACF ACOVF ACORF DURLEV AC2RC % % REFERENCES:% P.J. Brockwell and R.A. Davis "Time Series: Theory and Methods", 2nd ed. Springer, 1991.% S. Haykin "Adaptive Filter Theory" 3ed. Prentice Hall, 1996.% M.B. Priestley "Spectral Analysis and Time Series" Academic Press, 1981. % W.S. Wei "Time Series Analysis" Addison Wesley, 1990.% $Id: parcor.m 5090 2008-06-05 08:12:04Z schloegl $% Copyright (C) 1997-2002,2008 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/>.[ARP,PARCOR,PE] = durlev(AutoCov);PARCOR=-PARCOR;
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