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Bandwidth-intensive FPGA architecture for multi-dimensional DFT

机译:用于多维DFT的带宽密集型FPGA体系结构

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Multi-dimensional (MD) Discrete Fourier Transform (DFT) is a key kernel algorithm in many signal processing algorithms, including radar data processing and medical imaging. Although there are many efficient software solutions, they are not suitable for applications that require fast response time. In this paper we focus on FPGA-based implementation of MDDFT. The proposed architecture is based on a decomposition algorithm that takes into account FPGA resources and the characteristics of off-chip memory access, namely, the burst access pattern of the Synchronous Dynamic RAM (SDRAM). The architecture can support 2D, 3D, and even higher dimensional DFT with high performance. It has been implemented on a Xilinx Virtex-5 FPGA platform and its performance for 2D and 3D DFT measured and analyzed.
机译:多维(MD)离散傅里叶变换(DFT)是许多信号处理算法(包括雷达数据处理和医学成像)中的关键内核算法。尽管有许多有效的软件解决方案,但它们不适用于需要快速响应时间的应用程序。在本文中,我们重点介绍基于FPGA的MDDFT实现。所提出的架构基于一种分解算法,该算法考虑了FPGA资源和片外存储器访问的特性,即同步动态RAM(SDRAM)的突发访问模式。该架构可以支持2D,3D甚至更高维度的DFT,并且具有高性能。它已经在Xilinx Virtex-5 FPGA平台上实现,并且可以测量和分析2D和3D DFT的性能。

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