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In mathematics, the linear algebra process of singular value decomposition of a matrix is a tool for factoring real or complex rectangular matrices.

Signal processing.
Statistical.

The spectral theorem states that a normal matrix can be diagonalized by an orthonormal basis of eigenvectors.

One can view the singular value decomposition as a generalization of the spectral theorem to arbitrary matrices, which are not necessarily square.