function simu_tfar0(MAR, LAR, N, re_im, MM)% function simu_tfar0(MAR, LAR, N, re_im, MM)%   This file is part of the TFPM toolbox v1.0 (c)%   michael.jachan@tuwien.ac.at and underlies the GPL.% % Estimates <re_im>-valued TFAR(<MAR>, <LAR>; <N>; 1/2) models. %<MM> realizations are done to estimate the MSE. Uses the%meta-function simulate.m. %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%if(0)% TEST TEST TEST TEST TEST TEST TEST TEST TEST TEST%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%clear;tfpm;N    = 128;MAR  =   1;LAR  =   1;re_im= 'r';MM   =   1;%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%end;% TEST TEST TEST TEST TEST TEST TEST TEST TEST TEST%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%MMA  =   1;LMA  = LAR;mo_no= 'n';tfpm_file_gen;%-------------alpha= 1/2;beta = 1/2;exp= 'tfar0';resultname= sprintf('data/%04d/%s%d%d%s.mat', N, exp, MAR, LAR, re_im)% SNR valuesSNR= [inf];par= [Aml(:, 2:end) Bml];ENERGY= tfarma_ambi(Aml, Bml, N, alpha);ENERGY= ENERGY(N/2+1, N/2+1);[PAR, FLO, STA, AVG, MSE, VAR, BIQ, EInfo]= simulate(exp, N, SNR, par, ENERGY, re_im, MM);save(resultname, 'PAR', 'par', 'FLO', 'STA', 'AVG', 'MSE', 'VAR', 'BIQ', 'MM', 'SNR', 'ENERGY', 'EInfo');%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%if(0)% TEST TEST TEST TEST TEST TEST TEST TEST TEST TEST%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%clear;tfpm;for n= 7:7   for mar= 1:7      for lar= 1:5	 simu_tfar0(mar, lar, 2^n, 'r', 20);	 simu_tfar0(mar, lar, 2^n, 'i', 20);      end;   end;end;clear;tfpm;for n= 6:8   for mar= 1:7      for lar= 2:3	 simu_tfar0(mar, lar, 2^n, 'r', 20);	 simu_tfar0(mar, lar, 2^n, 'i', 20);      end;   end;end;clear;tfpm;for n= 6:8   for mar= 1:7      for lar= 4:5	 simu_tfar0(mar, lar, 2^n, 'r', 20);	 simu_tfar0(mar, lar, 2^n, 'i', 20);      end;   end;end;%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%end;% TEST TEST TEST TEST TEST TEST TEST TEST TEST TEST%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%