Convert m file into C++

hello I have some trouble with using Matlab coder

Here is my code. I have tried using Function to generate c++ code, But it was hard to convert.

Could you give me some advise for me to convert this codes into C++?

Should I change it manually?

%%
Larmor= 42.58; % Mhz/T
B0= 2.8944; % T (if ideal, 3T)
Waterppm= 4.7; % To align ppm (NAA~2.01)
Bandwidth= 2000; % sampling rate 1 datapoint per 0.0005s
Numdata= 2048; % common setting
LarmorB0= spec.Larmor*spec.B0; % Mhz
Total_ppm= spec.Bandwidth/spec.LarmorB0; % per ppm (1/M= ppm), approximatley
samplesperppm= round(spec.Numdata/spec.Total_ppm); % samples per ppm
DfStart= 9; % Noise estimated in downfield within 9ppm to 10ppm
DfEnd= 10;
UfStart= 0.5; % 0.5ppm to 4.556ppm (512pts)
UfEnd= 4.556;

%%
        obj.strings= ["HG", "Ala", "Asp", "Cr", "GABA", "GPC", "GSH", "Glc", "Gln", "Glu",...
            "Lac", "NAA", "NAAG", "PCh", "PCr", "PE", "Tau", "Water", "mI"];
        obj.strings_MMindiv= ["MM09", "MM12", "MM14", "MM16", "MM17", "MM18", "MM20", "MM21", "MM23", "MM26",...
            "MM30", "MM31", "MM32a", "MM32b", "MM37", "MM38", "MM40"];
        obj.strings_MM= ["MM1", "MM2", "MM3", "MM4", "MM5", "MM6", "MM7", "MM8", "MM9"];

        %Phantom simulation and "In vivo characterization of the liver fat 1H MR spectrum", Gavin Hamilton
        obj.strings_Art= ["Water1", "Ghost1", "Ghost2", "Ghost3", "Ghost4", "Ghost5", "Ghost6", "Ghost7", "Ghost8",...
            "Ghost9", "Ghost10", "Ghost11", "Ghost12", "Ghost13", "Ghost14", "Ghost15", "Ghost16",...
            "Ghost17", "Ghost18", "Ghost19", "Ghost20", "Lip1", "Lip2", "Lip3", "Lip4", "Lip5", "Lip6"];
       
%         Metabolites
%         MetabolitesOnlyFID
%         MMbaselineOnlyFID
%         Artifacts
%         ArtifactsOnlyFID
%         Abnormality
        
        
%% basis_spec
    file_1 = 'Basis_set_2k.txt';
    file_2 = 'Basis_set_2k_UpfieldOnly.txt';
    N= 100;
    opts = detectImportOptions(file_1);
    opts.MissingRule= 'omitrow';

    data = readcell(file_1,opts); % Load txt data
    data(:,3:4)=[]; % Clear the fft data
    data= cell2mat(data);
    arrdata= complex(data(:,1),data(:,2)); % Combine to tranform to the complex-double dataform

    metnum= length(obj.strings);
    
        for i= 1:length(obj.strings)
        eval(['' char(obj.strings(i)) '= arrdata(1+2048*(i-1):2048+2048*(i-1));']) % Load metabolites basis
        end
    %%
        amp_met(1,:)= (0-0)*rand(1,N) + 0; %2HG
        amp_met(2,:)= (1.5-0.1)*rand(1,N) + 0.1; %Ala
        amp_met(3,:)= (2.0-1.0)*rand(1,N) + 1.0; %Asp
        amp_met(4,:)= (10.5-4.5)*rand(1,N) + 4.5; %Cr
        amp_met(5,:)  = (2.0-1.0)*rand(1,N) + 1.0; %GABA
        amp_met(6,:)  = (2.0-0.5)*rand(1,N) + 0.5; %GPC
        amp_met(7,:)  = (3.0-1.5)*rand(1,N) + 1.5; %GSH
        amp_met(8,:)  = (2.0-1.0)*rand(1,N) + 1.0; %Glc
        amp_met(9,:)  = (6.0-3.0)*rand(1,N) + 3.0; %Gln
        amp_met(10,:)  = (12.5-6.0)*rand(1,N) + 6.0; %Glu
        amp_met(11,:)  = (1.0-0.2)*rand(1,N) + 0.2; %Lac
        amp_met(12,:) = (17.0-7.5)*rand(1,N) + 7.5; %NAA
        amp_met(13,:) = (2.5-0.5)*rand(1,N) + 0.5; %NAAG
        amp_met(14,:) = (2.0-0.5)*rand(1,N) + 0.5; %PCh
        amp_met(15,:) = (5.5-3.0)*rand(1,N) + 3.0; %PCr
        amp_met(16,:) = (2.0-1.0)*rand(1,N) + 1.0; %PE
        amp_met(17,:) = (6.0-2.0)*rand(1,N) + 2.0; %Tau
        amp_met(18,:) = (0-0)*rand(1,N) + 0; %Water
        amp_met(19,:) = (9.0-4.0)*rand(1,N) + 4.0; %mI
        
    VariableNamesCell= cellstr(obj.strings);

    obj.Metabolites= cell2table(cell(1,metnum));
    obj.Metabolites.Properties.VariableNames= VariableNamesCell;

    tmp= cell(1,length(obj.strings));

    for i= 1:length(obj.strings)
        tmp(i)= {amp_met(i,:)};
    end

    obj.Metabolites{1,1:length(obj.strings)}=tmp(1:length(obj.strings));

    metConcat= [];

    for i= 1:length(obj.strings)
        eval(['metConcat= [metConcat ' char(obj.strings(i)) '];'])
    end

    metcombined= metConcat*amp_met;
    obj.MetabolitesOnlyFID= metcombined;
%%

%% MMbaseline

[Rik]

You could start by improving this code in the first place. All those eval calls will make it difficult to convert this into anything useful.