基于赛灵思fpga的4:2压缩器并行分布式算法FIR滤波器设计

Xiaoqiang Zhang, Le Tu, Dihu Chen, Yuelai Yuan, Kan Huang, Zixin Wang
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引用次数: 5

摘要

分布式算法(DA)被广泛应用于有限脉冲响应(FIR)滤波器的实现。首先,数据处理被提出为顺序数据处理(SDA),然后扩展为并行数据处理(PDA)以获得更高的吞吐量。提出了一种基于4:2压缩器的新型PDA FIR滤波器结构,该结构可以高效地映射到赛灵思fpga上。平均而言,与最先进的PDA FIR滤波器相比,我们提出的FIR架构实现了17.5%的资源使用减少和20.7%的性能提高。此外,与Xilinx Coregen生成的PDA FIR滤波器相比,平均资源使用量减少了57.9%,性能提高了23.0%。
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Parallel distributed arithmetic FIR filter design based on 4:2 compressors on Xilinx FPGAs
Distributed arithmetic (DA) algorithm is widely used for finite impulse response (FIR) filter implementation. In the beginning, DA was proposed as sequential DA (SDA), and then was extended to parallel DA (PDA) for higher throughput. This paper presents a novel PDA FIR filter architecture based on 4:2 compressors which can be mapped on Xilinx FPGAs efficiently. On average, our proposed FIR architectures achieve 17.5% reduction in resource usage and 20.7% improvement in performance compared to the state-of-the-art PDA FIR filter. Also, on average, there is 57.9% reduction in resource usage and 23.0% improvement in performance compared to PDA FIR filters generated by Xilinx Coregen.
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