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📄 ar_spa.m

📁 时间序列分析的工具箱,里面有html说明
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function  [w,A,B,R,P,F,ip] = ar_spa(ARP,nhz,E);% AR_SPA decomposes an AR-spectrum into its compontents % [w,A,B,R,P,F,ip] = ar_spa(AR,fs,E);%%  INPUT:% AR   autoregressive parameters% fs    sampling rate, provide w and B in [Hz], if not given the result is in radians % E     noise level (mean square),  gives A and F in units of E, if not given as relative amplitude%%  OUTPUT% w	center frequency% A     Amplitude% B     bandwidth%       - less important output parameters - % R	residual% P	poles% ip	number of complex conjugate poles% real(F)     	power, absolute values are obtained by multiplying with noise variance E(p+1) % imag(F)	assymetry, - " -%% All input and output parameters are organized in rows, one row % corresponds to the parameters of one channel%% see also ACOVF ACORF DURLEV IDURLEV PARCOR YUWA % % REFERENCES:% [1] Zetterberg L.H. (1969) Estimation of parameter for linear difference equation with application to EEG analysis. Math. Biosci., 5, 227-275. % [2] Isaksson A. and Wennberg, A. (1975) Visual evaluation and computer analysis of the EEG - A comparison. Electroenceph. clin. Neurophysiol., 38: 79-86.% [3] G. Florian and G. Pfurtscheller (1994) Autoregressive model based spectral analysis with application to EEG. IIG - Report Series, University of Technolgy Graz, Austria.%	$Revision: 1.9 $% 	$Id: ar_spa.m,v 1.9 2004/02/23 15:29:16 schloegl Exp $%	Copyright (c) 1996-2003 by Alois Schloegl%	e-mail: a.schloegl@ieee.org	% This library is free software; you can redistribute it and/or% modify it under the terms of the GNU Library General Public% License as published by the Free Software Foundation; either% Version 2 of the License, or (at your option) any later version.%% This library 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% Library General Public License for more details.%% You should have received a copy of the GNU Library General Public% License along with this library; if not, write to the% Free Software Foundation, Inc., 59 Temple Place - Suite 330,% Boston, MA  02111-1307, USA.[NTR,pp]=size(ARP);R=zeros(size(ARP));P=zeros(size(ARP));w=zeros(size(ARP));A=zeros(size(ARP));B=zeros(size(ARP));F=zeros(size(ARP));for k = 1:NTR, %if ~mod(k,100),k, end;	[r,p,tmp] = residue(1,[1 -ARP(k,:)]);	[tmp,idx] = sort(-abs(r));   	R(k,:) = r(idx)';		% Residual,    	P(k,:) = p(idx)';		% Poles   	%r(k,:)=roots([1 -ARP(k,:)])';   	w(k,:) = angle(p(idx)');	% center frequency (in [radians])   	A(k,:) = 1./abs(polyval([1 -ARP(k,:)],exp(i*w(k,:))));	% Amplitude    	%A(k,:) = freqz(1,[1 -ARP(k,:)],w(k,:));	% Amplitude    	%A2(k,:) = abs(r)'./abs(exp(i*w(k,:))-r');   % Amplitude   	B(k,:) = -log(abs(p(idx)'));  % Bandwidth                   if nargout < 6,  	elseif 0,		        F(k,:) = (1+sign(imag(r(idx)')))./(polyval([-ARP(k,pp-1:-1:1).*(1:pp-1) pp],1./p(idx).').*polyval([-ARP(k,pp:-1:1) 1],p(idx).'));                elseif 1;	        a3 = polyval([-ARP(k,pp-1:-1:1).*(1:pp-1), pp],1./p(idx).');	        a  = polyval([-ARP(k,pp:-1:1) 1],p(idx).');		F(k,:) = (1+(imag(P(k,:))~=0))./(a.*a3);         end;	end;A = A.*sqrt(E(:,ones(1,pp)));if nargin>1,        if size(nhz,1)==1,                nhz = nhz(ones(NTR,1),:);        end;        w = w.*nhz(:,ones(1,pp))/(2*pi);        B = B.*nhz(:,ones(1,pp))/(2*pi);end;if nargin>2,        F = F.*E(:,ones(1,pp));end;ip = sum(imag(P)~=0,2)/2; return;np(:,1) = sum(imag(P')==0)';	% number of real polesnp(:,2) = pp-np(:,1);		% number of imaginary poles

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