- #1

MaximeMusterFrau

- 9

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I'have implemented a Maximum-Likelihood-Expectation-Maximization Algorithm in order to reconstruct a bild.

let say, we have such a system Ax=b, where A is a complex matrix, b is a complex vector.

A and b are known and we will iterately try to find the best x (which should be real) that fits that system.

The problem is taht the MLEM Algorithm is conceived to work for an A matrix that have real values between 0..1 (a probability matrix.). In my case, the A matrix is complex.

Does anyone know if this makes any sens ? How can I interpret my complex Matrix as a probability matrix?

I appreciate every suggestion :)