基于传统算法和吠陀算法的FFT运算乘法器性能评价与综合

L. Thakre, S. Balpande, Umesh P. Akare, S. Lande
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引用次数: 29

摘要

新的电信系统比以往任何时候都更多地基于数字信号处理。OFDM和DSL等高速数字通信系统需要快速傅里叶变换的实时高速计算。因此,需要创新的算法来提高速度。在本文中,我们提出了用于实现FFT中使用的乘法器的吠陀算法。吠陀数学(VM)提供了最简单有效的算法来解决任何典型的工程问题,这些问题都建立在吠陀原则的支柱上。传统的乘法方法比吠陀算法需要更多的时间和面积在硅上。更重要的是,处理速度随着比特长度的增加而增加。这将有助于最终加快信号处理任务,因为众所周知,乘法器是FFT的基本构建块。已为目标设备5vlx30ff324-3合成虚拟机。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance Evaluation and Synthesis of Multiplier Used in FFT Operation Using Conventional and Vedic Algorithms
New telecommunication systems are based more than ever before on digital signal processing. High speed digital telecommunication systems such as OFDM and DSL need real-time high-speed computation of the Fast Fourier Transform. Thus there is a need of innovative algorithms to improve the speed. In this paper, we propose vedic algorithm for the implementation of multipliers to be used in the FFT. Vedic mathematics (VM) comes with the simplest and effective algorithm for solving any typical engineering problem standing on the pillars of the “Vedic” principles. The conventional multiplication method requires more time & area on silicon than vedic algorithms. More importantly processing speed increases with the bit length. This will help ultimately to speed up the signal processing task, as it is well known that the multiplier is the basic building block of FFT. The VM has been synthesized for the target device 5vlx30ff324-3.
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