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Hardware-Efficient Bartlett Spectral Density Estimator Based on Optimized R2~2FFT Processor Using CCSSI Method

机译:基于CCSSI方法优化R2〜2FFT处理器的硬件高效的Bartlett光谱密度估计

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摘要

This paper offers a novel, low-power, hardware-efficient, yet high-frequency architecture for a power spectral density (PSD) estimator, based on the Bartlett method, for low-power biomedical applications. The Bartlett method is a nonparametric method for PSD estimation. The proposed architecture operates based on a modified multiplierless 64-point optimized radix-2(2) single-path delay feedback (R2(2)SDF) FFT processor. To obtain the final result, it also uses modified safe-scaling in a way that removes the need to use several extra hardware units. It takes advantage of combined coefficient selection and shift-and-add implementation (CCSSI) for computing twiddle factors which is a new algorithm based on digital computer coordinate rotation (CORDIC) for generating trigonometric values. The proposed method has the capability of operating on short word lengths (WLs). Artix-7 is the FPGA used in this research and Verilog is the language used for hardware design. For 8-bit WL and 244-mW power, a frequency of 286 MHz has been achieved. Several vital signals are used for performance comparison of the proposed technique with state-of-the-art designs.
机译:本文提供了一种基于Bartlett方法的功率谱密度(PSD)估计的新颖,低功耗,硬件且高频架构,用于低功耗生物医学应用。 Bartlett方法是PSD估计的非参数方法。所提出的体系结构基于修改的乘法机64点优化的基数-2(2)单路径延迟反馈(R2(2)SDF)FFT处理器。为了获得最终结果,它还使用修改的安全缩放,以便删除使用多个额外硬件单元的需要。它利用了组合系数选择和移位和添加实现(CCSSI)来计算用于基于数字计算机坐标旋转(CORDIC)的新算法,用于产生三角值。所提出的方法具有在短字长(WLS)上运行的能力。 Artix-7是本研究中使用的FPGA,Verilog是用于硬件设计的语言。对于8位WL和244 MW功率,已经实现了286 MHz的频率。几种重要信号用于具有最先进的设计的提出技术的性能比较。

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