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Matrix Equations and Transformations
1986In this chapter we consider solutions of a linear set of equations using some of the concepts discussed in Chapter 4. In addition, we introduce the concepts of a vector space, rank of a matrix, and so on. We end the chapter with a discussion of various transformations that are popular in the digital signal processing area.
John E. Hershey, R. K. Rao Yarlagadda
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The Matrix Transform Processor
IEEE Transactions on Computers, 1976A matrix transform processor (MTP) for an Evans and Sutherland LDS-2 graphics system has been designed and built at the University of North Carolina. The MTP performs all the important functions of a matrix multiplier, clipper, and perspective divider.
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Binary Darboux transformation for general matrix mKdV equations and reduced counterparts
Chaos, Solitons and Fractals, 2021Wen-Xiu
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Matrix Transformations and Factorizations
2017In most applications of linear algebra, problems are solved by transformations of matrices. A given matrix (which represents some transformation of a vector) is itself transformed. The simplest example of this is in solving the linear system Ax = b, where the matrix A represents a transformation of the vector x to the vector b.
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Feature Nonlinear Transformation Non-Negative Matrix Factorization with Kullback-Leibler Divergence
Pattern Recognition, 2022exaly