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A new transformation matrix for bilinear transformation

IEEE Transactions on Acoustics, Speech, and Signal Processing, 1984
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
K R Rao
exaly   +2 more sources

Matrix Wiener transform

Applied Mathematics and Computation, 2011
Some properties of the matricial expression of the Fourier-Wiener transform are considered. Here the referred properties are a composition formula, Parceval formula and an inversion formula which is the extension an unitary explicit integral representation of the second quantization for one integral operator of the Wiener transform.
Nácere Hayek   +2 more
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STOCHASTIC MATRIX TRANSFORMS

Analysis, 1986
Summary: Let a probability space (\(\Omega\),\(\Sigma\),P) and sequences of r.v.'s \((X_ n(\omega))_ 1^{\infty}\), \((Y_ n(\omega))_ 1^{\infty}\), and a matrix of r.v.'s \(A=(A_{nk}(\omega))^{\infty}_{n,k=1}\) be given. We ask for the exact conditions for A which guarantee that each sequence \((X_ n(\omega))_ 1^{\infty}\), which is a.s. an element of \(
Stadtmüller, U., Trautner, Rolf
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The Matrix Transform Processor

IEEE Transactions on Computers, 1976
A 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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On matrix transformations

Periodica Mathematica Hungarica, 1982
Let \(\delta\) be the space of all sequences \((x_ n)_{n\in {\mathbb{N}}}\) for which \(| x_ n|^{1/n}\to 0\) as \(n\to \infty\). The matrices \(A=[a_{ij}]_{i,j\in {\mathbb{N}}}\) are characterized which define a matrix transformation \(A:\ell^ 1\to \delta\). The main theorem and its proof are improvements of results of \textit{K. C. Rao}, Glasg.
Gupta, M., Kamthan, P. K.
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Matrix Laplace transform

Boletín de la Sociedad Matemática Mexicana, 2023
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
O. E. Yaremko, K. R. Zababurin
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The matrix transform chip

Proceedings 1989 IEEE International Conference on Computer Design: VLSI in Computers and Processors, 2003
The matrix transform chip (MTC) is designed to perform matrix computations of the form Y=UDV where D is the input data matrix of 16-bit twos complement fixed-point numbers and U, V, are arbitrary coefficient matrices of the same precision. The data matrix D is input to the chip in raster scanned order at a maximum sample rate of 40 MHz, and the output ...
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