Mercurial > hg > ltpda

comparison m-toolbox/classes/+utils/@math/math.m @ 0:f0afece42f48

Find changesets by keywords (author, files, the commit message), revision number or hash, or revset expression.
Import.
author Daniele Nicolodi <nicolodi@science.unitn.it>
date Wed, 23 Nov 2011 19:22:13 +0100
parents
children bc767aaa99a8
comparison
equal deleted inserted replaced
-1:000000000000 0:f0afece42f48
1 % MATH helper class for math utility functions.
2 %
3 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
4 %
5 % DESCRIPTION: MATH is a helper class for math utility functions.
6 %
7 % To see the available static methods, call
8 %
9 % >> methods utils.math
10 %
11 % HISTORY: M Hewitson 26-05-08
12 % Creation
13 %
14 % VERSION: $Id: math.m,v 1.77 2011/10/07 08:19:06 miquel Exp $
15 %
16 %
17 %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
18
19 classdef math
20
21 %------------------------------------------------
22 %--------- Declaration of Static methods --------
23 %------------------------------------------------
24 methods (Static)
25
26
27 %-------------------------------------------------------------
28 % List other methods
29 %-------------------------------------------------------------
30
31 varargout = intfact(varargin); % Compute two integers P and Q
32 varargout = cpf(varargin)
33 varargout = lp2z(varargin)
34 p = phase(resp)
35 r = deg2rad(deg, min, sec)
36 [G,ri] = fq2ri(f0, Q)
37 ri = fq2ri2(f0, Q)
38 [f0, q] = ri2fq(c)
39 deg = unwrapdeg(phase)
40 val = rand(r1, r2)
41 [res,poles,dterm,mresp,rdl,rmse] = autocfit(y,f,params)
42 [res,poles,dterm,mresp,rdl,rmse] = autodfit(y,f,fs,params)
43 [res,poles,dterm,mresp,rdl] = ctfit(y,f,poles,weight,fitin)
44 [res,poles,dterm,mresp,rdl] = dtfit(y,f,poles,weight,fitin)
45 [res,poles,dterm,mresp,rdl,rmse] = vcfit(y,f,poles,weight,fitin)
46 [res,poles,dterm,mresp,rdl,rmse] = vdfit(y,f,poles,weight,fitin)
47 [h11,h12,h21,h22] = eigpsd(psd1,csd,psd2,varargin)
48 [h11,h12,h21,h22] = eigcsd(csd11,csd12,csd21,csd22,varargin)
49 varargout = pfallps(ir,ip,id,mresp,f,varargin)
50 [nr,np,nd,nmresp] = pfallpsymz(r,p,d,mresp,f,fs)
51 [nr,np,nd,nmresp] = pfallpsyms(r,p,d,f)
52 varargout = pfallpz(ir,ip,id,mresp,f,fs,varargin)
53 varargout = psd2tf(varargin)
54 varargout = psd2wf(varargin)
55 spoles = startpoles(order,f,params)
56 weight = wfun(y,weightparam)
57 [ext,msg] = stopfit(y,rdl,rmse,ctp,lrscond,rmsevar)
58 pfr = pfresp(pfparams)
59 Deriv = fpsder(a, params)
60 zi = iirinit(a,b)
61 sw = spflat(S)
62 out = randelement(arr, N)
63 covmat = jr2cov(J,resid)
64 J = getjacobian(coeff,model,X)
65 h = ndeigcsd(csd,varargin)
66 ostruct = csd2tf(csd,f,params)
67 [res,poles,fullpoles,mresp,rdl,mse] = psdzfit(y,f,poles,weight,fitin)
68 varargout = computepsd(Sxx,Svxx,w,range,nfft,Fs,esttype)
69 res = isequal(varargin)
70 [a,Ca,Corra,Vu,bu,Cbu,Fbu,mse,dof,ppm] = linfitsvd(varargin)
71 [a,Ca,Corra,Vu,bu,Cbu,Fbu,mse,dof,ppm] = linlsqsvd(varargin)
72 Zi = getinitstate(res,poles,S0,varargin)
73 varargout = pfallpz2(ip,mresp,f,fs)
74 ostruct = csd2tf2(csd,f,params)
75 varargout = pfallpsymz2(ip,mresp,f,fs)
76 varargout = pfallpsyms2(ip,mresp,f)
77 varargout = pfallps2(ip,mresp,f)
78 FisMat = fisher_2x2(i1,i2,n,mdl,params,numparams,freqs,N,pl,inNames,outNames)
79 FisMat = fisher_1x1(i1,n,mdl,params,numparams,freqs,N,pl,inNames,outNames)
80 best = diffStepFish(i1,i2,S11,S12,S21,S22,N,meval,params,ngrid,ranges,freqs,inNames,outNames)
81 best = diffStepFish_1x1(i1,S11,N,meval,params,values,ngrid,ranges,freqs,inNames,outNames)
82 loglk = loglikelihood(varargin)
83 loglk = loglikelihood_ssm(varargin)
84 [loglk snr] = loglikelihood_matrix(varargin)
85 snrexp = stnr(tmplt1,tmplt2,out1,out2,InvS11,InvS22,InvS12,InvS21)
86 loglk = loglikelihood_ssm_td(xp,in,out,parnames,model,inNames,outNames,Noise,varargin)
87 loglk = loglikelihood_td(res,noise,varargin)
88 params = fitPrior(prior,nparam,chain,bins)
89 Xt = blwhitenoise(npts,fs,fl,fh)
90 [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)
91 [A,B,C,D] = pf2ss(res,poles,dterm)
92 [w_i,powers,w_mse,p_mse] = rootmusic(x,p,varargin)
93 [music_data,msg] = music(x,p,varargin)
94 k = getk(z,p,zfg)
95 dc = getdc(z,p,k)
96 [A,B,C,D] = pzmodel2SSMats(pzm)
97 varargout = filtfilt_filterbank(fbk,in)
98 cmat = xCovmat(x,y,varargin)
99 chi2 = chisquare_ssm_td(xp,in,out,parnames,model,inNames,outNames,varargin)
100 [CorrC,SigC] = cov2corr(Covar)
101 Covar = corr2cov(CorrC,SigC)
102 R = Rcovmat(x)
103 smpl = mhsample_td(model,in,out,cov,number,limit,parnames,Tc,xi,xo,search,jumps,parplot,dbg_info,inNames,outNames,inNoise,inNoiseNames,cutbefore,cutafter)
104 Bxy = rjsample(model,in,out,nse,cov,number,limit,param,Tc,xi,xo,search,jumps,parplot,dbg_info,inNames,outNames,inModel,outModel)
105 [Fout,x] = ecdf(y)
106 cVal = SKcriticalvalues(n1,n2,alph)
107 x = Finv(p,n1,n2)
108 p = Fcdf(x,n1,n2)
109 rsp = mtxiirresp(fil,freq,fs,bank)
110 rsp = mtxiirresp2(A,B,freq,fs)
111 rsp = mtxratresp2(A,B,freq)
112 f = getfftfreq(nfft,fs,type)
113 h = cdfplot(y1,y2,ops)
114 h = qqplot(y1,y2,ops)
115 h = ppplot(y1,y2,ops)
116 boxplot(varargin)
117 p = Normcdf(x,mu,sigma)
118 x = Norminv(p,mu,sigma)
119 p = Chi2cdf(x,v)
120 x = Chi2inv(p,v)
121 [H, KSstatistic, criticalValue, pValue] = kstest(y1, y2, alpha, varargin)
122 [test,critValue,pValue] = Ftest(F,dof1,dof2,alpha,twoTailed)
123 test = SFtest(X,Y,alpha,showPlots)
124 s = Skew(x)
125 k = Kurt(x)
126 [rw,s] = crank(w)
127 [rs,pValue,TestRes] = spcorr(y1,y2,alpha)
128 [chi2,g] = chi2(p,data,models,Dmodels,lb,ub)
129 pValue = KSpValue(KSstatistic,n1,n2)
130 R = freqCorr(w,eta,T)
131 varargout = overlapCorr(w,N,navs)
132 Gf = dft(gt,f,T)
133 Sf = computeDftPeriodogram(x,fs,f,order,win,psll)
134 Sf = welchdft(x,fs,f,Ns,olap,navs,order,win,psll)
135 y = unitStep(x);
136 y = heaviside(x);
137 %-------------------------------------------------------------
138 %-------------------------------------------------------------
139
140 end % End static methods
141
142
143 end
144
145 % END