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% MATH helper class for math utility functions.
%
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%
% DESCRIPTION: MATH is a helper class for math utility functions.
%
% To see the available static methods, call
%
% >> methods utils.math
%
% HISTORY: M Hewitson 26-05-08
% Creation
%
% VERSION: $Id: math.m,v 1.77 2011/10/07 08:19:06 miquel Exp $
%
%
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classdef math
%------------------------------------------------
%--------- Declaration of Static methods --------
%------------------------------------------------
methods (Static)
%-------------------------------------------------------------
% List other methods
%-------------------------------------------------------------
varargout = intfact(varargin); % Compute two integers P and Q
varargout = cpf(varargin)
varargout = lp2z(varargin)
p = phase(resp)
r = deg2rad(deg, min, sec)
[G,ri] = fq2ri(f0, Q)
ri = fq2ri2(f0, Q)
[f0, q] = ri2fq(c)
deg = unwrapdeg(phase)
val = rand(r1, r2)
[res,poles,dterm,mresp,rdl,rmse] = autocfit(y,f,params)
[res,poles,dterm,mresp,rdl,rmse] = autodfit(y,f,fs,params)
[res,poles,dterm,mresp,rdl] = ctfit(y,f,poles,weight,fitin)
[res,poles,dterm,mresp,rdl] = dtfit(y,f,poles,weight,fitin)
[res,poles,dterm,mresp,rdl,rmse] = vcfit(y,f,poles,weight,fitin)
[res,poles,dterm,mresp,rdl,rmse] = vdfit(y,f,poles,weight,fitin)
[h11,h12,h21,h22] = eigpsd(psd1,csd,psd2,varargin)
[h11,h12,h21,h22] = eigcsd(csd11,csd12,csd21,csd22,varargin)
varargout = pfallps(ir,ip,id,mresp,f,varargin)
[nr,np,nd,nmresp] = pfallpsymz(r,p,d,mresp,f,fs)
[nr,np,nd,nmresp] = pfallpsyms(r,p,d,f)
varargout = pfallpz(ir,ip,id,mresp,f,fs,varargin)
varargout = psd2tf(varargin)
varargout = psd2wf(varargin)
spoles = startpoles(order,f,params)
weight = wfun(y,weightparam)
[ext,msg] = stopfit(y,rdl,rmse,ctp,lrscond,rmsevar)
pfr = pfresp(pfparams)
Deriv = fpsder(a, params)
zi = iirinit(a,b)
sw = spflat(S)
out = randelement(arr, N)
covmat = jr2cov(J,resid)
J = getjacobian(coeff,model,X)
h = ndeigcsd(csd,varargin)
ostruct = csd2tf(csd,f,params)
[res,poles,fullpoles,mresp,rdl,mse] = psdzfit(y,f,poles,weight,fitin)
varargout = computepsd(Sxx,Svxx,w,range,nfft,Fs,esttype)
res = isequal(varargin)
[a,Ca,Corra,Vu,bu,Cbu,Fbu,mse,dof,ppm] = linfitsvd(varargin)
[a,Ca,Corra,Vu,bu,Cbu,Fbu,mse,dof,ppm] = linlsqsvd(varargin)
Zi = getinitstate(res,poles,S0,varargin)
varargout = pfallpz2(ip,mresp,f,fs)
ostruct = csd2tf2(csd,f,params)
varargout = pfallpsymz2(ip,mresp,f,fs)
varargout = pfallpsyms2(ip,mresp,f)
varargout = pfallps2(ip,mresp,f)
FisMat = fisher_2x2(i1,i2,n,mdl,params,numparams,freqs,N,pl,inNames,outNames)
FisMat = fisher_1x1(i1,n,mdl,params,numparams,freqs,N,pl,inNames,outNames)
best = diffStepFish(i1,i2,S11,S12,S21,S22,N,meval,params,ngrid,ranges,freqs,inNames,outNames)
best = diffStepFish_1x1(i1,S11,N,meval,params,values,ngrid,ranges,freqs,inNames,outNames)
loglk = loglikelihood(varargin)
loglk = loglikelihood_ssm(varargin)
[loglk snr] = loglikelihood_matrix(varargin)
snrexp = stnr(tmplt1,tmplt2,out1,out2,InvS11,InvS22,InvS12,InvS21)
loglk = loglikelihood_ssm_td(xp,in,out,parnames,model,inNames,outNames,Noise,varargin)
loglk = loglikelihood_td(res,noise,varargin)
params = fitPrior(prior,nparam,chain,bins)
Xt = blwhitenoise(npts,fs,fl,fh)
[smpl smplr] = mhsample(model,in,out,nse,cov,number,limit,param,Tc,xi,xo,search,jumps,parplot,dbg_info,inNames,outNames,fpars,anneal,SNR0,DeltaL,inModel,outModel)
[A,B,C,D] = pf2ss(res,poles,dterm)
[w_i,powers,w_mse,p_mse] = rootmusic(x,p,varargin)
[music_data,msg] = music(x,p,varargin)
k = getk(z,p,zfg)
dc = getdc(z,p,k)
[A,B,C,D] = pzmodel2SSMats(pzm)
varargout = filtfilt_filterbank(fbk,in)
cmat = xCovmat(x,y,varargin)
chi2 = chisquare_ssm_td(xp,in,out,parnames,model,inNames,outNames,varargin)
[CorrC,SigC] = cov2corr(Covar)
Covar = corr2cov(CorrC,SigC)
R = Rcovmat(x)
smpl = mhsample_td(model,in,out,cov,number,limit,parnames,Tc,xi,xo,search,jumps,parplot,dbg_info,inNames,outNames,inNoise,inNoiseNames,cutbefore,cutafter)
Bxy = rjsample(model,in,out,nse,cov,number,limit,param,Tc,xi,xo,search,jumps,parplot,dbg_info,inNames,outNames,inModel,outModel)
[Fout,x] = ecdf(y)
cVal = SKcriticalvalues(n1,n2,alph)
x = Finv(p,n1,n2)
p = Fcdf(x,n1,n2)
rsp = mtxiirresp(fil,freq,fs,bank)
rsp = mtxiirresp2(A,B,freq,fs)
rsp = mtxratresp2(A,B,freq)
f = getfftfreq(nfft,fs,type)
h = cdfplot(y1,y2,ops)
h = qqplot(y1,y2,ops)
h = ppplot(y1,y2,ops)
boxplot(varargin)
p = Normcdf(x,mu,sigma)
x = Norminv(p,mu,sigma)
p = Chi2cdf(x,v)
x = Chi2inv(p,v)
[H, KSstatistic, criticalValue, pValue] = kstest(y1, y2, alpha, varargin)
[test,critValue,pValue] = Ftest(F,dof1,dof2,alpha,twoTailed)
test = SFtest(X,Y,alpha,showPlots)
s = Skew(x)
k = Kurt(x)
[rw,s] = crank(w)
[rs,pValue,TestRes] = spcorr(y1,y2,alpha)
[chi2,g] = chi2(p,data,models,Dmodels,lb,ub)
pValue = KSpValue(KSstatistic,n1,n2)
R = freqCorr(w,eta,T)
varargout = overlapCorr(w,N,navs)
Gf = dft(gt,f,T)
Sf = computeDftPeriodogram(x,fs,f,order,win,psll)
Sf = welchdft(x,fs,f,Ns,olap,navs,order,win,psll)
y = unitStep(x);
y = heaviside(x);
%-------------------------------------------------------------
%-------------------------------------------------------------
end % End static methods
end
% END