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📄 detrend.m

📁 时间序列分析的matlab程序
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function [X,T]=detrend(t,X,p)% DETREND removes the trend from data, NaN's are considered as missing values% % DETREND is fully compatible to previous Matlab and Octave DETREND with the following features added:% - handles NaN's by assuming that these are missing values% - handles unequally spaced data% - second output parameter gives the trend of the data% - compatible to Matlab and Octave %% [...]=detrend([t,] X [,p])%	removes trend for unequally spaced data%	t represents the time points%	X(i) is the value at time t(i)%	p must be a scalar%% [...]=detrend(X,0)%	removes the mean%% [...]=detrend(X,p)%	removes polynomial of order p (default p=1)%% [...]=detrend(X,1) - default%	removes linear trend %% [X,T]=detrend(...) %% X is the detrended data% T is the removed trend% % see also: SUMSKIPNAN % 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.% Copyright (C) 1995, 1996  Kurt Hornik <Kurt.Hornik@ci.tuwien.ac.at>% Copyright (C) 2001 by Alois Schloegl <a.schloegl@ieee.org>	% last revision 13 Apr 2001, Ver 2.74if (nargin == 1)    	p = 1;       	X = t;	t = [];elseif (nargin == 2)        if all(size(X)==1),                 p = X;                X = t;                t = [];        else                p = 1;    	end;            elseif (nargin == 3)        elseif (nargin > 3)    	fprintf (1,'usage: detrend (x [, p])\n');end;% check data, must be in culomn order[m, n] = size (X);if (m == 1)        X = X';        r=n;else        r=m;end% check time scaleif isempty(t),	t = (1:r).'; % make time scale elseif ~all(size(t)==size(X))         t = t(:);end;% check dimension of t and Xif ~all(size(X,1)==size(t,1))        fprintf (2,'detrend: size(t,1) must same as size(x,1) \n');end;% check the order of the polynomial if (~(all(size(p)==1) & (p == round (p)) & (p >= 0)))	fprintf (2,'detrend:  p must be a nonnegative integer\n');endif (nargout>1)  , % needs more memory        T = zeros(size(X))+nan;         %T=repmat(nan,size(X)); % not supported by Octave 2.0.16                        if (size(t,2)>1),	% for multiple time scales                for k=1:size(X,2),	                idx=find(~isnan(X(:,k)));                        b = (t(idx,k) * ones (1, p + 1)) .^ (ones (length(idx),1) * (0 : p));		        T(idx,k) = b * (b \ X(idx,k));		end;        	                else			% if only one time scale is used		b = (t * ones (1, p + 1)) .^ (ones (length(t),1) * (0 : p));                for k=1:size(X,2),	                idx=find(~isnan(X(:,k)));		        T(idx,k) = b(idx,:) * (b(idx,:) \ X(idx,k));	        	%X(idx,k) = X(idx,k) - T(idx,k); % 1st alternative implementation                        %X(:,k) = X(:,k) - T(:,k); % 2nd alternative                 end;	end;        X = X-T;  % 3nd alternative                 if (m == 1)	        X = X';	        T = T';	endelse % needs less memory        if (size(t,2)>1),	% for multiple time scales                for k = 1:size(X,2),	                idx = find(~isnan(X(:,k)));                        b = (t(idx,k) * ones (1, p + 1)) .^ (ones (length(idx),1) * (0 : p));		        X(idx,k) = X(idx,k) -  b * (b \ X(idx,k));		end;        else			% if only one time scale is used		b = (t * ones (1, p + 1)) .^ (ones (length(t),1) * (0 : p));		for k = 1:size(X,2),		        idx = find(~isnan(X(:,k)));	        	X(idx,k) = X(idx,k) - b(idx,:) * (b(idx,:) \ X(idx,k));		end;	end;        if (m == 1)	        X = X';	endend;

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