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A parallel arithmetic for hardware realization of digital filters

机译:用于数字滤波器的硬件实现的并行算法

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Distributed Arithmetic (DA) is a classic technique for the hardware realization of digital filters. We present a novel parallel arithmetic operation to overcome two drawbacks in existing DA and DA-based methods: 1) the throughput is difficult to improve and 2) hardware resource consumption increases exponentially with the length of filter order. The fundamental difference between the proposed and existing methods is that the proposed method factors the filter coefficients to find several simple basic operations, which can circumvent the inherent bit-serial nature of DA methods and achieve the whole operation in one clock cycle. Additionally, the number of possible basic operations increases linearly with the length of filter order, which means we can relieve the exponentially increasing hardware resource consumption. The proposed method is evaluated through two experiments, and the results demonstrate that the proposed technique outperforms existing DA and DA-based methods in terms of throughput and resource consumption.
机译:分布式算术(DA)是用于数字滤波器的硬件实现的经典技术。我们提出了一种新颖的并行算术运算,以克服现有DA和基于DA的方法中的两个缺点:1)吞吐量难以提高; 2)硬件资源消耗随着滤波器阶数的增加呈指数增长。所提出的方法与现有方法之间的根本区别在于,所提出的方法将滤波器系数分解成几个简单的基本运算,从而可以绕开DA方法固有的位串行特性,并在一个时钟周期内完成整个运算。此外,可能的基本操作数量随过滤器顺序的长度线性增加,这意味着我们可以缓解呈指数增长的硬件资源消耗。通过两个实验对提出的方法进行了评估,结果表明,在吞吐量和资源消耗方面,提出的技术优于现有的DA和基于DA的方法。

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