首页> 外文会议>41st IEEE international symposium on multiple-valued logic >Multiple-Valued Logic Networks with Regular Structure Obtained from Fast Fourier Transforms on Finite Groups
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Multiple-Valued Logic Networks with Regular Structure Obtained from Fast Fourier Transforms on Finite Groups

机译:从有限组上的快速傅立叶变换获得具有规则结构的多值逻辑网络

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In this paper, we discuss the Fast Fourier transform (FFT) on finite groups as a useful method in synthesis for regularity. FFT is the algorithm for efficient calculation of the Discrete Fourier transform (DFT) and has been extended to computation of various Fourier-like transforms. The algorithm has a very regular structure that can be easily mapped to technology by replacing nodes in the corresponding flow-graphs by circuit modules performing the operations in the flow-graphs. In this way, networks with highly regular structure for implementing functions from their spectra are derived. Fourier transforms on non-Abelian groups offer additional advantages for reducing the required hardware due to matrix-valued spectral coefficients and the way how such coefficients are used in reconstructing the functions. Methods for optimization of spectral representations of functions on finite groups may be applied to improve networks with regular structure.
机译:在本文中,我们将讨论有限组上的快速傅立叶变换(FFT),这是一种有用的正规性综合方法。 FFT是用于高效计算离散傅里叶变换(DFT)的算法,并且已扩展到各种类傅里叶变换的计算。该算法具有非常规则的结构,可以通过在流程图中执行操作的电路模块替换相应流程图中的节点,轻松地将其映射到技术上。以此方式,推导了具有高度规则结构的网络,用于根据其频谱来实现功能。由于矩阵值频谱系数以及在构造函数时如何使用此类系数的方式,对非阿贝尔群的傅立叶变换提供了减少所需硬件的其他优势。可以将用于有限组上的函数的频谱表示的优化的方法应用于改进具有规则结构的网络。

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