How to run a code several times using a for loop

Hello,

I have the following problem: I want to run the following code for 50 interations, and saving the values of matrix A1, B1, C1 ,D1 , OutputL_1, OutputH1_1, OutputH1_2, OutputH1_3, ........, OutputL_20, OutputH1_20, OutputH2_20, OutputH3_20. I tried through for-loop but I do not have the desired result. Below I have the basic parts of the code. Your help is important!!!

Datay=Dt(1:24)
Noutput=Out %Noutput: Matrix: 1X24

% The following produce must be performed for 50 iterations
E=Datay-Noutput;

%Create 20 subsets
Esubset1=E(randi([1,numel(E)],size(E)));
Esuibset2=E(randi([1,numel(E)],size(E)));
.
.
Esuibset20=E(randi([1,numel(E)],size(E)));

% Create New Data
NewDataY1=Noutput+Esubset1;
NewDataY2=Noutput+Esubset2;
.
.
NewDataY20=Noutput+Esubset20;

% Processing
[C1,L1]=wavedec(NewDataY1,3,'db3');
[C2,L2]=wavedec(NewDataY2,3,'db3');
.
.
[C20,L20]=wavedec(NewDataY20,3,'db3');

LowSerCoef_1=wrcoef('a',C1,L1,'db3',3);
High1SerCoef_1=wrcoef('d',C1,L1,'db3',1);
High2SerCoef_1=wrcoef('d',C1,L1,'db3',2);
High3SerCoef_1=wrcoef('d',C1,L1,'db3',3);
.
.
LowSerCoef_20=wrcoef('a',C20,L20,'db3',3);
High1SerCoef_20=wrcoef('d',C20,L20,'db3',1);
High2SerCoef_20=wrcoef('d',C20,L20,'db3',2);
High3SerCoef_20=wrcoef('d',C20,L20,'db3',3);

% W matrices
LowSerW=rand(100,1000);
High1SerW=rand(100,1000);
High2SerW=rand(100,1000);
High3SerW=rand(100,1000);

LowSer2W=LowSerW*LowSerCoef;
High1Ser2W=High1SerW*High1SerCoef;
High2Ser2W=High2SerW*High2SerCoef;
High3Ser2W=High3SerW*High3SerCoef;

A=LowSer2W+z % z is 1X1000 matrix
B=High1Ser2W+z; % z is 1X1000 matrix
C=High2Ser2W+z; % z is 1X1000 matrix
D=High3Ser2W+z; % z is 1X1000 matrix

A1=1/(1+A);
B1=1/(1+B);
C1=1/(1+C);
D1=1/(1+D);

OutputL_1=A1*LowSerCoef_1;
OutptuH1_1=B1*High1SerCoef_1;
OutptuH1_1=C1*High2SerCoef_1;
OutptuH1_1=D1*High3SerCoef_1;
.
.
OutputL_20=A1*LowSerCoef_120
OutptuH1_20=B1*High1SerCoef_20;
OutptuH1_20=C1*High2SerCoef_20;
OutptuH1_20=D1*High3SerCoef_20;

[Stephen23]

Numbering variable names is a sign that you are doing something wrong.

Copy-and-pasting code like that is a sign that you are doing something wrong.

Your current approach is not efficient nor a particularly good use of MATLAB: arrays and indexing would be much better.

Answer 1

[KSSV]

1. Make your given code into a function with input and output.
2. Output should be your required matrices/ data.
3. Make output into a single cell/ structure inside the function.
4. Now run a loop and save each output into a cell.

[stelios loizidis]

Because I an new in programming is there any other way?

[Walter Roberson]

How are you currently doing the saving ?

[stelios loizidis]

In each iteration.

Answer 2

[Shae Morgan]

Something like this?

Datay=rand(1,24)
Noutput=rand(1,24) %Noutput: Matrix: 1X24

% The following produce must be performed for 50 iterations
E=Datay-Noutput;
%Create 20 subsets
for i=1:20
Esubset(i,:)=E(randi([1,numel(E)],size(E)));
NewDataY(i,:)=Noutput+Esubset(i,:)
% Processing
[C(i,:),L(i,:)]=wavedec(NewDataY1,3,'db3');
LowSerCoef(i,:)=wrcoef('a',C(i,:),L(i,:),'db3',3);
High1SerCoef(i,:)=wrcoef('d',C1(i,:),L1(i,:),'db3',1);
High2SerCoef(i,:)=wrcoef('d',C1(i,:),L1(i,:),'db3',2);
High3SerCoef(i,:)=wrcoef('d',C1(i,:),L1,(i,:)'db3',3);
end

% W matrices
LowSerW=rand(100,1000);
High1SerW=rand(100,1000);
High2SerW=rand(100,1000);
High3SerW=rand(100,1000);
LowSer2W=LowSerW*LowSerCoef;
High1Ser2W=High1SerW*High1SerCoef;
High2Ser2W=High2SerW*High2SerCoef;
High3Ser2W=High3SerW*High3SerCoef;
A=LowSer2W+z % z is 1X1000 matrix
B=High1Ser2W+z; % z is 1X1000 matrix
C=High2Ser2W+z; % z is 1X1000 matrix
D=High3Ser2W+z; % z is 1X1000 matrix
A1=1/(1+A);
B1=1/(1+B);
C1=1/(1+C);
D1=1/(1+D);

for i=1:20
OutputL(i,:)=A1*LowSerCoef(i,:);
OutptuH1(i,:)=B1*High1SerCoef(i,:);
OutptuH1(i,:)=C1*High2SerCoef(i,:);
OutptuH1(i,:)=D1*High3SerCoef(i,:);
end

[Shae Morgan]

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