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FPGA implementation of scalable microprogrammed FIR filter architectures using Wallace tree and Vedic multipliers

机译:使用华莱士树和吠陀乘法器的可扩展微程序FIR滤波器架构的FPGA实现

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Field programmable gate array (FPGA) is widely used for efficient hardware realization of digital signal processing (DSP) circuits and systems. Finite impulse response (FIR) filter is the core of any DSP and communication systems. To improve the performance of FIR filter, an efficient multiplier is required. Wallace tree and Vedic multipliers are used in this paper for the implementation of sequential and parallel microprogrammed FIR filter architectures. The designs are realized using Xilinx Virtex-5 FPGA. FPGA implementation results are presented and analyzed. Based on the implementation results, sequential FIR filter using Wallace tree multiplier/carry skip adder combination proves to be more efficient as compared to other multiplier/adder combinations.
机译:现场可编程门阵列(FPGA)被广泛用于数字信号处理(DSP)电路和系统的高效硬件实现。有限脉冲响应(FIR)滤波器是任何DSP和通信系统的核心。为了提高FIR滤波器的性能,需要一个有效的乘法器。本文使用华莱士树和吠陀乘法器来实现顺序和并行微程序FIR滤波器架构。这些设计是使用Xilinx Virtex-5 FPGA来实现的。给出并分析了FPGA的实现结果。根据实施结果,与其他乘法器/加法器组合相比,使用华莱士树乘法器/进位跳过加法器组合的顺序FIR滤波器被证明效率更高。

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