Index for rtools

Matlab files in this Directory

posdef_swap                   function out = posdef_swap(data,swapdist,irange,jrange)
RT_exppdf                     function out = RT_exppdf(x,mu)
RT_exprnd                     function out = RT_exprnd(mu,mrows,ncols);
RT_geomean                    function out = RT_geomean(x)
RT_expinv                     function out = RT_expinv(p,mu)
cgamqdist                     function Q = cgamqdist(zeta,czeta,mu,shape)
RT_expcdf                     function out = RT_expcdf(x,mu)
power_separation              function out = power_separation(mu,looks)
single_polsep                 function out = single_polsep(ex,ey,ez)
cov_channels                  function out = cov_channels(N, rho);
makecovfullint                generic `makefile' for covfullint
makefullX                     generic `makefile' for segfullX
makereclassrho                generic `makefile' for reclassrho
mu2cov                        function covout = mu2cov(mu,sz)
openairsar_new                function [data,structure,radvec] = openairsar_new(filedir,filecode,frequency,start_line,load_lines)
nleU                          function out = nleU(in);
fig                           function fig(fignum)
openairsar                    function [data,structure] = openairsar(filedir,filecode,frequency,start_line,load_lines)
RT_acorr                      function aa = RT_acorr(x,maxlag)
k_demo                        this script demonstrates the normalised log estimate for the K distribution
cov_matrices                  function out = cov_matrices(N, rho, L);
cwishart_variates             function out = cwishart_variates(cm,looks,N);
cgamnn                        function nn = cgamnn(Rg,shape)
i_gdistarea                   function out = i_gdistarea(x,z,alphax,alphay,alphaz,m,n,c,looks,prefactor)
RT_dB                         function out=RT_dB(in);
i_gdistvol                    function out = i_gdistvol(z,alphax,alphay,alphaz,m,n,c,x_upper,x_lower,looks, prefactor)
multiple_polsep               function newtest = multiple_polsep(inputx,inputy,inputz,looks)
RT_Kcdf_noise                 function [p,q] = RT_Kcdf_noise(I,nu,mu,rho,tol)
phase_distribution            function P = phase_distribution(Phi, rho, L)
coherence_distribution        function P = coherence_distribution(r, rho, L)
cfar_sim_demo                 script to measure CFAR performance, effectively testing [1]
RT_gampdf                     function out = RT_gampdf(x,mu,shape)
RT_gamrnd                     function out = RT_gamrnd(mu,shape,mrows,ncols)
k_noise_demo                  this script demonstrates statistics of the K distribution in
aux_Kcdf_noise_Zlog           function out = aux_Kcdf_noise_Zlog(sigma,T,nu,mu,rho,mfactor)
RT_Krnd                       function kdata=RT_Krnd(nu,mu,mrows,ncols);
RT_weibpdf                    function out = RT_weibpdf(x,a,mu)
cgamgen                       function out = cgamgen(Rg,shape)
intensity_distribution        function P = intensity_distribution(x, L, mu)
RT_Kpdf                       function [p,uerr]=RT_Kpdf(I,nu,mu,noflag)
aux_Kpdf_noise_Zlog           function out = aux_Kpdf_noise_Zlog(sigma,T,nu,mu,rho,logmfactor)
RT_weibrnd                    function out = RT_weibrnd(a,mu,mrows,ncols)
RT_Kcdf                       function [p,q,uerr]=RT_Kcdf(I,nu,mu,noflag)
RT_weibcdf                    function [p,q] = RT_weibcdf(x,a,mu)
cgamint                       function dx = cgamint(x,n,mu,shape,Rg)
segmentation_demo             this script demonstrates the toolbox functions on the ricedata
cfar_theory_demo              script to test the CFAR theory from [1]
amplitude_ratio               function P = amplitude_ratio(Q, R, rho, L)
polarisation_demo             this script demonstrates the polarimetric statistics functions
makecfarmex                   generic `makefile' for cfarmex
intensity_ratio               function P = Intensity_Ratio(Q, R, rho, L)
nu2nleU                       function U=nu2nleU(nu)
gamY2nu                       function nu=gamY2nu(Y)
nleU2nu                       function nu=nleU2nu(U)
RT_weibinv                    function x = RT_weibinv(p,a,mu,q)
RT_gamcdf                     function [p,q] = RT_gamcdf(x,mu,shape)
correlation_demo              script to demonstrate how gamma distribution with a known 
swerling_pd                   function Pd=swerling_pd(threshold,SNR,No_Pulses,model)
k_detection_demo              script to generate Target + Clutter + Noise stats for IID K distributed clutter
change_demo                   this script demonstrates change detection for homogenous clutter
digamma                       psi = digamma(z)   ... Digamma-Function for real argument z.
statistics_demo               this script demonstrates the general statistics functions
RT_gamrnd_old                 function out = RT_gamrnd_old(mu,shape,mrows,ncols)
RT_weibest                    function [a,mu] = RT_weibest(x, fast)
RT_gaminv                     function x = RT_gaminv(p,mu,shape,{q})
RT_fcdf                       function [p,q] = RT_fcdf(x,df1,df2)
RT_Pcfar                      function P = RT_Pcfar(T, N, S, model, k1, k2)
hermite_end                   function h=hermite_end(n,x);
RT_cgaussian_iir              function [out,err] = RT_cgaussian_iir(acf, Nsamples);
RT_cgaussian_fft              function [out1,out2] = RT_cgaussian_fft(acf);
RT_fpdf                       function out = RT_fpdf(x,df1,df2)
RT_finv                       function x = RT_finv(p,df1,df2,q)
RT_Krnd_noise                 function kdata=RT_Krnd_noise(nu,mu,rho,mrows,ncols);
separation_demo               script to test the separation between two covariance matrices
RT_Tcfar                      function T = RT_Tcfar(P, N, S, model, k1, k2, trace)
RT_weibLL                     function LL = RT_weibLL(par, x)
RT_cfar                       function Z = RT_cfar(data, model, Nwindow, Nguard, k1, k2)
weibull_demo                  this script demonstrates the MLE estimate for the Weibull distribution
RT_Kpdf_noise                 function p = RT_Kpdf_noise(I,nu,mu,rho,tol)
aux_Kpdf_noise_Znuc           function out = aux_Kpdf_noise_Znu(sigma,T,nu,mu,rho)
aux_Kcdf_noise_Znuc           function out = aux_Kcdf_noise_Znu(sigma,T,nu,mu,rho)