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Review of Matrix Factorization

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Abstract

Matrix factorization algorithms lie at the heart of many signal processing applications. For example, the problem of finding a vector x, such that Ax = b, where A is an m × n complex matrix and b is a complex n-length vector, is a particularly important and computationally intensive problem in adaptive beamforming applications. When mn, the problem is overdetermined- there are more equations than unknowns.

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  • DOI: 10.1007/978-1-4419-8650-4_4
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© 2003 Springer Science+Business Media New York

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Dunn, I.N., Meyer, G.G.L. (2003). Review of Matrix Factorization. In: A Parallel Algorithm Synthesis Procedure for High-Performance Computer Architectures. Series in Computer Science. Springer, Boston, MA. https://doi.org/10.1007/978-1-4419-8650-4_4

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  • DOI: https://doi.org/10.1007/978-1-4419-8650-4_4

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-4658-6

  • Online ISBN: 978-1-4419-8650-4

  • eBook Packages: Springer Book Archive