📄 xwt.m
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function varargout=xwt(x,y,varargin)
%% Cross wavelet transform
% Creates a figure of cross wavelet power in units of
% normalized variance.
%
% USAGE: [Wxy,period,scale,coi,sig95]=xwt(x,y,[,settings])
%
% x & y: two time series
% Wxy: the cross wavelet transform of x against y
% period: a vector of "Fourier" periods associated with Wxy
% scale: a vector of wavelet scales associated with Wxy
% coi: the cone of influence
%
%
% Settings: Pad: pad the time series with zeros?
% . Dj: Scales per octave (default: '1/12')
% . S0: Minimum scale
% . J1: Total number of scales
% . Mother: Mother wavelet (default 'morlet')
% . MaxScale: An easier way of specifying J1
% . MakeFigure: Make a figure or simply return the output.
% . BlackandWhite: Create black and white figures
% . AR1: the ar1 coefficients of the series
% . (default='auto' using the Allen&Smith method. See ar1.m)
%
% Settings can also be specified using abbreviations. e.g. ms=MaxScale.
% For detailed help on some parameters type help wavelet.
%
% Example:
% t=1:200;
% xwt(sin(t),sin(t.*cos(t*.01)),'ms',16)
%
% Please acknowledge the use of this software in any publications:
% "Crosswavelet and wavelet coherence software were provided by
% A. Grinsted."
%
% (C) Aslak Grinsted 2002-2004
%
% http://www.pol.ac.uk/home/research/waveletcoherence/
% -------------------------------------------------------------------------
% Copyright (C) 2002-2004, Aslak Grinsted
% This software may be used, copied, or redistributed as long as it is not
% sold and this copyright notice is reproduced on each copy made. This
% routine is provided as is without any express or implied warranties
% whatsoever.
% ------validate and reformat timeseries.
[x,dt]=formatts(x);
[y,dty]=formatts(y);
if dt~=dty
error('timestep must be equal between time series')
end
t=(max(x(1,1),y(1,1)):dt:min(x(end,1),y(end,1)))'; %common time period
if length(t)<4
error('The two time series must overlap.')
end
n=length(t);
%----------default arguments for the wavelet transform-----------
Args=struct('Pad',1,... % pad the time series with zeroes (recommended)
'Dj',1/12, ... % this will do 12 sub-octaves per octave
'S0',2*dt,... % this says start at a scale of 2 years
'J1',[],...
'Mother','Morlet', ...
'MaxScale',[],... %a more simple way to specify J1
'MakeFigure',(nargout==0),...
'BlackandWhite',0,...
'AR1','auto');
Args=parseArgs(varargin,Args,{'BlackandWhite'});
if isempty(Args.J1)
if isempty(Args.MaxScale)
Args.MaxScale=(n*.17)*2*dt; %auto maxscale
end
Args.J1=round(log2(Args.MaxScale/Args.S0)/Args.Dj);
end
if strcmpi(Args.AR1,'auto')
Args.AR1=[ar1(x(:,2)) ar1(y(:,2))];
if any(isnan(Args.AR1))
error('Automatic AR1 estimation failed. Specify them manually (use the arcov or arburg estimators).')
end
end
nx=size(x,1);
sigmax=std(x(:,2));
ny=size(y,1);
sigmay=std(y(:,2));
%-----------:::::::::::::--------- ANALYZE ----------::::::::::::------------
[X,period,scale,coix] = wavelet(x(:,2),dt,Args.Pad,Args.Dj,Args.S0,Args.J1,Args.Mother);
[Y,period,scale,coiy] = wavelet(y(:,2),dt,Args.Pad,Args.Dj,Args.S0,Args.J1,Args.Mother);
% truncate X,Y to common time interval (this is first done here so that the coi is minimized)
dte=dt*.01; %to cricumvent round off errors with fractional timesteps
idx=find((x(:,1)>=(t(1)-dte))&(x(:,1)<=(t(end)+dte)));
X=X(:,idx);
coix=coix(idx);
idx=find((y(:,1)>=(t(1)-dte))&(y(:,1)<=(t(end)+dte)));
Y=Y(:,idx);
coiy=coiy(idx);
coi=min(coix,coiy);
% -------- Cross
Wxy=X.*conj(Y);
% sinv=1./(scale');
% sinv=sinv(:,ones(1,size(Wxy,2)));
%
% sWxy=smoothwavelet(sinv.*Wxy,dt,period,dj,scale);
% Rsq=abs(sWxy).^2./(smoothwavelet(sinv.*(abs(wave1).^2),dt,period,dj,scale).*smoothwavelet(sinv.*(abs(wave2).^2),dt,period,dj,scale));
% freq = dt ./ period;
%---- Significance levels
%Pk1=fft_theor(freq,lag1_1);
%Pk2=fft_theor(freq,lag1_2);
Pkx=ar1spectrum(Args.AR1(1),period./dt);
Pky=ar1spectrum(Args.AR1(2),period./dt);
V=2;
Zv=3.9999;
signif=sigmax*sigmay*sqrt(Pkx.*Pky)*Zv/V;
sig95 = (signif')*(ones(1,n)); % expand signif --> (J+1)x(N) array
sig95 = abs(Wxy) ./ sig95;
if ~strcmpi(Args.Mother,'morlet')
sig95(:)=nan;
end
if Args.MakeFigure
Yticks = 2.^(fix(log2(min(period))):fix(log2(max(period))));
if Args.BlackandWhite
levels = [0.25,0.5,1,2,4,8,16];
[cout,H]=safecontourf(t,log2(period),log2(abs(Wxy/(sigmax*sigmay))),log2(levels));%,log2(levels)); %*** or use 'contourf3ill'
cout(1,:)=2.^cout(1,:);
HCB=colorbarf(cout,H);
barylbls=rats([0 levels 0]');
barylbls([1 end],:)=' ';
barylbls(:,find(all(barylbls==' ',1)))=[];
set(HCB,'yticklabel',barylbls);
cmap=(1:-.01:.5)'*.9;
cmap(:,2:3)=cmap(:,[1 1]);
%cmap(:,1:2)=cmap(:,1:2)*.8;
colormap(cmap);
set(gca,'YLim',log2([min(period),max(period)]), ...
'YDir','reverse', ...
'YTick',log2(Yticks(:)), ...
'YTickLabel',num2str(Yticks'), ...
'layer','top')
%xlabel('Time')
ylabel('Period')
hold on
aWxy=angle(Wxy);
phs_dt=round(length(t)/30); tidx=max(floor(phs_dt/2),1):phs_dt:length(t);
phs_dp=round(length(period)/30); pidx=max(floor(phs_dp/2),1):phs_dp:length(period);
phaseplot(t(tidx),log2(period(pidx)),aWxy(pidx,tidx),.05,5);
if strcmpi(Args.Mother,'morlet')
[c,h] = contour(t,log2(period),sig95,[1 1],'k');
set(h,'linewidth',3)
else
warning('XWT Significance level calculation is only valid for morlet wavelet.')
%TODO: alternatively load from same file as wtc (needs to be coded!)
end
%tt=[t([1 1])-dt*.5;t;t([end end])+dt*.5];
%hcoi=patch(tt,log2([period([end 1]) coi period([1 end])]),ones(size(tt))*0,'w');
%set(hcoi,'alphadatamapping','direct','facealpha',.8)
plot(t,log2(coi),'k','linewidth',3)
%hcoi=fill([t([1 1:end end])],log2([period(end) coi period(end)]),'r')
%set(hcoi,'alphadatamapping','direct','facealpha',.3)
hold off
else
H=imagesc(t,log2(period),log2(abs(Wxy/(sigmax*sigmay))));
%logpow=log2(abs(Wxy/(sigmax*sigmay)));
%[c,H]=safecontourf(t,log2(period),logpow,[min(logpow(:)):.25:max(logpow(:))]);
%set(H,'linestyle','none')
clim=get(gca,'clim'); %center color limits around log2(1)=0
clim=[-1 1]*max(clim(2),3);
set(gca,'clim',clim)
HCB=safecolorbar;
set(HCB,'ytick',-7:7);
barylbls=rats(2.^(get(HCB,'ytick')'));
barylbls([1 end],:)=' ';
barylbls(:,find(all(barylbls==' ',1)))=[];
set(HCB,'yticklabel',barylbls);
set(gca,'YLim',log2([min(period),max(period)]), ...
'YDir','reverse', ...
'YTick',log2(Yticks(:)), ...
'YTickLabel',num2str(Yticks'), ...
'layer','top')
%xlabel('Time')
ylabel('Period')
hold on
aWxy=angle(Wxy);
phs_dt=round(length(t)/30); tidx=max(floor(phs_dt/2),1):phs_dt:length(t);
phs_dp=round(length(period)/30); pidx=max(floor(phs_dp/2),1):phs_dp:length(period);
phaseplot(t(tidx),log2(period(pidx)),aWxy(pidx,tidx),.03,5);
if strcmpi(Args.Mother,'morlet')
[c,h] = contour(t,log2(period),sig95,[1 1],'k');
set(h,'linewidth',2)
else
warning('XWT Significance level calculation is only valid for morlet wavelet.')
%TODO: alternatively load from same file as wtc (needs to be coded!)
end
tt=[t([1 1])-dt*.5;t;t([end end])+dt*.5];
hcoi=fill(tt,log2([period([end 1]) coi period([1 end])]),'w');
set(hcoi,'alphadatamapping','direct','facealpha',.5)
hold off
end
end
varargout={Wxy,period,scale,coi,sig95};
varargout=varargout(1:nargout);
function [cout,H]=safecontourf(varargin)
vv=sscanf(version,'%i.');
if (version('-release')<14)|(vv(1)<7)
[cout,H]=contourf(varargin{:});
else
[cout,H]=contourf('v6',varargin{:});
end
function hcb=safecolorbar(varargin)
vv=sscanf(version,'%i.');
if (version('-release')<14)|(vv(1)<7)
hcb=colorbar(varargin{:});
else
hcb=colorbar('v6',varargin{:});
end
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