Titlebook: Mathematics of Multidimensional Fourier Transform Algorithms; Richard Tolimieri,Myoung An,Chao Lu,C. S. Burrus ( Book 1997Latest edition S

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Tensor Product,al signal processing, linear systems, and numerical analysis. Typically, large data sets are processed by algorithms characterized by intricate index calculations. The problem of analyzing and writing code for such algorithms that is tailored to a specific architecture or processor is both time-cons

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endoscopy

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Lines,f this geometry is responsible for some of the deepest and most fruitful formulas in number theory and theta function theory [2]. It forms the basis for many results in algebraic block coding theory [1]. Most often the finite abelian groups come with additional structure, making them into modules an

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Reduced Transform Algorithms,potential high-speed computing capacity. Typically, such computers feature a collection of homogeneous processing elements (nodes) together with an interconnection network and can be characterized by the ., or power, of the node processors, the . as measured by the number of independent processing e

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Implementation on RISC Architectures,cially multiplications. Blahut (1985) [1]offers an excellent survey of many algorithms designed using this methodology. Today, with the rapid advance in VLSI technology and the availability of high-speed and inexpensive floating-point processors, the time required to carry out a fixed-point addressi

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