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What is the Eigen Value Decomposition?

 

Eigen-decomposition is applicable to square matrix only. On the other hand, singular value decomposition (SVD), eigenvalue decomposition, etc., are widely used in wireless communication systems. 

Mathematically,

A*V = V*D

where, A = original matrix

           V = eigenvector matrix

           D = eigenvalue matrix (digonal)

The main benefit of these types of decompositions is to convert an original matrix into an equivalent diagonal matrix, which is very useful for multi-antenna communication to cancel interferences among various independent data streams.

 

Further Reading

[1] Manual Code for Eigenvalue Decomposition in MATLAB


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