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Uniform patterns based area-efficient and accurate stochastic computing finite impulse response filter

机译:基于均匀的图案的区域高效和准确的随机计算有限脉冲响应滤波器

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Stochastic computing has recently gained attention due to its low hardware complexity and better fault tolerance against soft errors. However, stochastic computing based circuits suffer from different errors which affect the output accuracy of these circuits. In this paper, an accurate and area-efficient stochastic computing based digital finite impulse response filter is designed. In the proposed work, constant uniform patterns are used as stochastic numbers for the select lines of different MUXes in the filter and the error performance of filter is analysed. Based on the error performance, the combinations of these patterns are proposed for reducing the output error of stochastic computing based filters. The architectures for generating these uniform patterns are also proposed. Results show that the proposed design methodology has better error performance and comparable hardware complexity as compared to the state-of-the-art implementations.
机译:随机计算最近由于其硬件复杂性低,并且对软错误而更好的容错而受到关注。 然而,基于随机计算的电路遭受了影响这些电路的输出精度的不同误差。 在本文中,设计了基于准确的区域有效的随机计算的数字有限脉冲响应滤波器。 在所提出的工作中,恒定均匀的图案用作过滤器中不同MUXES的选择线的随机数字,分析过滤器的误差性能。 基于错误性能,提出了这些模式的组合来减少基于随机计算的过滤器的输出误差。 还提出了用于产生这些统一模式的架构。 结果表明,与最先进的实施相比,所提出的设计方法具有更好的误差性能和可比硬件复杂性。

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