function [ar,ASAsellog,ASAcontrol] = sig2ar(sig,cand_order,last)
%SIG2AR AR model identification
% [AR,SELLOG] = SIG2AR(SIG) estimates autoregressive models from the
% data vector SIG and selects a model with optimal predictive
% qualities. The selected model is returned in the parameter vector AR.
% The structure SELLOG provides additional information on the selection
% process.
%
% SIG2AR(SIG,CAND_ORDER) selects only from candidate models whose
% orders are entered in CAND_ORDER. CAND_ORDER must either be a row of
% ascending orders, or a single order (in which case no true order
% selection is performed).
%
% Without user intervention, the mean of SIG is subtracted from the
% data. To control the subtraction of the mean, see the help topics on
% ASAGLOB_SUBTR_MEAN and ASAGLOB_MEAN_ADJ.
%
% SIG2AR is an ARMASA main function.
%
% See also: SIG2MA, SIG2ARMA, ARMASEL.
% References: P. M. T. Broersen, Facts and Fiction in Spectral
% Analysis, IEEE Transactions on Instrumentation and
% Measurement, Vol. 49, No. 4, August 2000, pp. 766-772.
%Header
%=========================================================================
%Declaration of variables
%------------------------
%Declare and assign values to local variables
%according to the input argument pattern
switch nargin
case 1
if isa(sig,'struct'), ASAcontrol=sig; sig=[];
else, ASAcontrol=[];
end
cand_order=[];
case 2
if isa(cand_order,'struct'), ASAcontrol=cand_order; cand_order=[];
else, ASAcontrol=[];
end
case 3
if isa(last,'struct'), ASAcontrol=last;
else, error(ASAerr(39))
end
otherwise
error(ASAerr(1,mfilename))
end
if isequal(nargin,1) & ~isempty(ASAcontrol)
%ASAcontrol is the only input argument
ASAcontrol.error_chk = 0;
ASAcontrol.run = 0;
end
%Declare ASAglob variables
ASAglob = {'ASAglob_subtr_mean';'ASAglob_mean_adj'; ...
'ASAglob_rc';'ASAglob_ar'};
%Assign values to ASAglob variables by screening the
%caller workspace
for ASAcounter = 1:length(ASAglob)
ASAvar = ASAglob{ASAcounter};
eval(['global ' ASAvar]);
if evalin('caller',['exist(''' ASAvar ''',''var'')'])
eval([ASAvar '=evalin(''caller'',ASAvar);']);
else
eval([ASAvar '=[];']);
end
end
%ARMASA-function version information
%-----------------------------------
%This ARMASA-function is characterized by
%its current version,
ASAcontrol.is_version = [2000 12 30 20 0 0];
%and its compatability with versions down to,
ASAcontrol.comp_version = [2000 12 30 20 0 0];
%This function calls other functions of the ARMASA
%toolbox. The versions of these other functions must
%be greater than or equal to:
ASAcontrol.req_version.burg = [2000 12 30 20 0 0];
ASAcontrol.req_version.cic = [2000 12 30 20 0 0];
ASAcontrol.req_version.rc2arset = [2000 12 30 20 0 0];
%Checks
%------
if ~any(strcmp(fieldnames(ASAcontrol),'error_chk')) | ASAcontrol.error_chk
%Perform standard error checks
%Input argument format checks
ASAcontrol.error_chk = 1;
if ~isnum(sig)
error(ASAerr(11,'sig'))
elseif ~isavector(sig)
error([ASAerr(14) ASAerr(15,'sig')])
elseif size(sig,2)>1
sig = sig(:);
warning(ASAwarn(25,{'row';'sig';'column'},ASAcontrol))
end
if ~isempty(cand_order)
if ~isnum(cand_order) | ~isintvector(cand_order) |...
cand_order(1)<0 | ~isascending(cand_order)
error(ASAerr(12,{'candidate';'cand_order'}))
elseif size(cand_order,1)>1
cand_order = cand_order';
warning(ASAwarn(25,{'column';'cand_order';'row'},ASAcontrol))
end
end
%Input argument value checks
if ~isreal(sig)
error(ASAerr(13))
end
if max(cand_order) > length(sig)-1
error(ASAerr(21))
end
end
if ~any(strcmp(fieldnames(ASAcontrol),'version_chk')) | ASAcontrol.version_chk
%Perform version check
ASAcontrol.version_chk = 1;
%Make sure the requested version of this function
%complies with its actual version
ASAversionchk(ASAcontrol);
%Make sure the requested versions of the called
%functions comply with their actual versions
burg(ASAcontrol);
cic(ASAcontrol);
rc2arset(ASAcontrol);
end
if ~any(strcmp(fieldnames(ASAcontrol),'run')) | ASAcontrol.run
%Run the computational kernel
ASAcontrol.run = 1;
ASAcontrol.version_chk = 0;
ASAcontrol.error_chk = 0;
ASAtime = clock;
ASAdate = now;
%Main
%=====================================================
%Initialization of variables
%---------------------------
if isempty(ASAglob_subtr_mean) | ASAglob_subtr_mean
sig = sig-mean(sig);
if isempty(ASAglob_mean_adj)
ASAglob_mean_adj = 1;
end
elseif isempty(ASAglob_mean_adj)
ASAglob_mean_adj = 0;
end
n_obs = size(sig,1);
%Determination of the maximum candidate AR order
%-----------------------------------------------
if ~isempty(cand_order)
max_order = cand_order(end);
else
max_order = ...
min(fix(n_obs/2),fix(200*log10(n_obs)));
if max_order > 1000;
max_order = 1000;
end
end
%Estimation procedure
%--------------------
[rc,var] = burg(sig,max_order,ASAcontrol);
%AR model order selection
%------------------------
rc(1) = 0;
res = var*cumprod(1-rc.^2);
rc(1) = 1;
[cicar,pe_est] = cic(res,n_obs,cand_order,ASAcontrol);
[min_value,sel_location] = min(cicar);
if isempty(cand_order)
cand_order = 0:max_order;
end
sel_order = cand_order(sel_location);
%Arranging output arguments
%--------------------------
ar = rc2arset(rc(1:sel_order+1),ASAcontrol);
ASAglob_rc = rc;
ASAglob_ar = ar;
if nargout>1
ASAsellog.funct_name = mfilename;
ASAsellog.funct_version = ASAcontrol.is_version;
ASAsellog.date_time = ...
[datestr(ASAdate,8) 32 datestr(ASAdate,0)];
ASAsellog.comp_time = etime(clock,ASAtime);
ASAsellog.ar = ar;
ASAsellog.rcarlong = rc;
ASAsellog.mean_adj = ASAglob_mean_adj;
ASAsellog.cand_order = cand_order;
ASAsellog.cic = cicar;
ASAsellog.pe_est = pe_est;
end
%Footer
%=====================================================
else %Skip the computational kernel
%Return ASAcontrol as the first output argument
if nargout>1
warning(ASAwarn(9,mfilename,ASAcontrol))
end
ar = ASAcontrol;
ASAcontrol = [];
end
%Program history
%======================================================================
%
% Version Programmer(s) E-mail address
% ------- ------------- --------------
% former versions P.M.T. Broersen p.m.t.broersen@tudelft.nl
% [2000 12 30 20 0 0] W. Wunderink wwunderink01@freeler.nl