In linear algebra, the singular value decomposition (SVD) is a factorization of a real or complex matrix, with many useful applications in signal processing and statistics.
The singular value decomposition (SVD) is a factorization of a real or complex matrix. This is with many useful applications in signal processing and statistics. This is in linear algebra.