Your code is a bit cryptic because it is clear you don't know the right MATLAB syntax. So the way I will try to help is guess at what you were trying to do and rewrite your code.
l=(0:28)';
N=28;
for k=1:7
k1=k+(N*7);
k2=k+(N*7);
M=[1, 1 ;
exp(1j*2*pi)*(k1-1)*(l/N), exp(1j*2*pi)*(k2-1)*(l/N) ;
exp(1j*2*pi)*(k1-1)*(l/N), exp(1j*2*pi)*(k2-1)*(l/N)];
end
Note that the code above still doesn't make sense for an over-determined system of equations. Therefore, I am going to speak about over-determined linear algebraic equations systems as follows.
Given: You have the over determined system A*x = b where A is an m x n matrix and m > n. You want to minimize the norm(Ax - b) in the least squares sense (i.e. best coefficient vector x). To do this in MATLAB, use the following:
When A is rectangular rather than square, MATLAB computes the least squares solution.
If this helped you, please mark my answer as the accepted answer. Otherwise, post some more information so that we can try to better answer your question.
