逻辑综合在基于fpga的图像与信号处理系统设计中的重要性

P. Tomaszewicz, M. Nowicka, B. Falkowski, T. Luba
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引用次数: 4

摘要

近年来,通用功能分解越来越受到人们的重视。虽然它主要被认为是一种逻辑合成方法,用于将布尔函数实现到基于fpga的体系结构中,但它在现代工程和科学的许多其他领域都有应用。本文描述了逻辑分解在现代FPGA架构中高效实现图像和信号处理系统的应用。我们采用了一种称为Demain的算法,可以用作FPGA合成流程中的预处理工具。采用小波滤波器对Altera公司的Stratix系列器件进行了Demain测试,并将实验结果与Altera公司的Quartus工具进行了比较。当使用domain作为预映射处理时,就嵌入式内存块覆盖的面积而言,它显示出50%的改进。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Logic Synthesis Importance in FPGA-Based Designing of Image and Signal Processing Systems
General functional decomposition has been gaining more and more importance in recent years. Though it is mainly perceived as a method of logic synthesis for implementation of Boolean functions into FPGA-based architectures, it has found application in many other fields of modern engineering and science. In this paper, application of logic decomposition to efficient implementation of image and signal processing system in modern FPGA architectures is described. We have adapted an algorithm called Demain that can be used as a preprocessing tool in the FPGA synthesis flow. Wavelet filters are used to test Demain with Altera's Stratix device family and the experimental results are compared with those by Altera's Quartus tool. When Demain is used as a premapping processing, it shows 50% improvement in terms of the covered area by embedded memory blocks.
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