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Multidimensional Fourier transforms by systolic architectures

机译:通过收缩架构进行多维傅立叶变换

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A method of formal transformation of a multidimensional DFT (discrete Fourier transform) algorithm to a form suitable for implementation with a systolic macropipeline is discussed. The suggested transformation of the original form of the DFT algorithm consists of one or several rotationlike transforms applied to the index set. The resulting 'completely systolized' form of the algorithm makes it possible to implement the N/sup M/-point (m-dimensional) DFT with a macropipeline containing M or (M-1) cascaded systolic/semisystolic arrays. Each array is an M-dimensional hypercube of the processing elements (PEs) of the multiply-add type; the internal structure of PEs in different arrays is slightly different. For given values of N and M, several design options exist, with hardware complexity of about the same value. The proposed systolic architecture makes it possible to obtain the throughput of N (one set of spectrum values every N array clocks) for any number of dimensions M.
机译:讨论了将多维DFT(离散傅里叶变换)算法形式转换为适合使用收缩期宏管线实施的形式的方法。 DFT算法原始形式的建议转换由应用于索引集的一个或多个类似旋转的转换组成。该算法产生的“完全收缩”形式使使用包含M或(M-1)级联收缩/半收缩阵列的宏管线实现N / sup M /点(m维)DFT成为可能。每个数组都是乘加类型处理元素(PE)的M维超立方体; PE在不同阵列中的内部结构略有不同。对于给定的N和M值,存在几种设计选项,其硬件复杂度大约相同。所提出的脉动体系结构使得有可能获得任意数量的维度M的N的吞吐量(每N个阵列时钟,一组频谱值)。

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