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Design and performance analysis of reconfigurable modified Vedic multiplier with 3-1-1-2 compressor

机译:具有3-1-1-2压缩器的可重构修正Vedic乘法器的设计和性能分析

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The Fast Fourier Transform (FFT) is a digital signal processing (DSP) function most commonly used one in many applications such as imaging, wireless communication, and multimedia. The FFT processors are consists of butterfly structure operations, which includes multiplication, addition and subtraction of complex value data. In this paper, an FFT butterfly structure is designed using the Vedic multiplier for high speed applications. In this Vedic multiplier, Urdhava Triyakbhyam algorithm is utilized to improve its efficiency. Then, detector block is introduced to identify the unwanted portion of the input data to be processed in the data processing unit. Therefore, data computation time is reduced in the detector based Vedic multiplier that supports full range and half range input data. The detector is developed based on Boolean function, to detect the valid ranges of two input operands during input data computation. The detector result is used to select the operand with half range input data for Vedic multiplication and it is disabled the surplus computation. So, it reduces the switching activities in the logic gates and proportionally reduces the power consumption. The proposed design-I is consists of Vedic algorithm and the detection unit. Then, the 3-1-1-2 compressor is designed and it is utilized in the multiplier. The proposed design-II is developed with modified Vedic algorithm, detection unit and proposed 3-1-1-2 compressor. Finally, the radix-2, radix-4, and radix-8 FFT butterflies are implemented using the detection unit based Vedic multiplier, the 3-1-1-2 compressor based multiplier and various existing multiplier. The proposed design-I and proposed design-II is designed and implemented in Spartan-6, Virtex-4 and Virtex-5 FPGA family devices. The proposed reconfigurable Vedic multiplier is simulated and synthesized using Synopsys tools using the 90 nm standard cell library. (C) 2019 Elsevier B.V. All rights reserved.
机译:快速傅立叶变换(FFT)是一种数字信号处理(DSP)功能,在许多应用中(例如成像,无线通信和多媒体)最常用。 FFT处理器由蝶形结构运算组成,该运算包括复数值数据的乘法,加法和减法。在本文中,使用吠陀乘法器设计了用于高速应用的FFT蝶形结构。在此吠陀乘法器中,利用Urdhava Triyakbhyam算法来提高效率。然后,引入检测器块以识别将在数据处理单元中处理的输入数据的不需要的部分。因此,在支持全范围和半范围输入数据的基于检测器的吠陀乘法器中,减少了数据计算时间。该检测器是基于布尔函数开发的,可在输入数据计算过程中检测两个输入操作数的有效范围。检测器结果用于为吠陀乘法选择具有半范围输入数据的操作数,并且禁用剩余计算。因此,它减少了逻辑门中的开关活动,并成比例地降低了功耗。提出的设计方案I由Vedic算法和检测单元组成。然后,设计3-1-1-2压缩机并将其用于乘法器。拟议的设计II是使用改进的Vedic算法,检测单元和拟议的3-1-1-2压缩机开发的。最后,使用基于检测单元的Vedic乘法器,基于3-1-1-2压缩器的乘法器和各种现有的乘法器来实现radix-2,radix-4和radix-8 FFT蝶形。在Spartan-6,Virtex-4和Virtex-5 FPGA系列器件中设计并实现了建议的设计-I和建议的设计-II。拟议的可重构吠陀乘数是使用Synopsys工具使用90 nm标准单元库进行仿真和合成的。 (C)2019 Elsevier B.V.保留所有权利。

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