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Power-Efficient Approximate Newton-Raphson Integer Divider Applied to NLMS Adaptive Filter for High-Quality Interference Cancelling

机译:功能高效近似Newton-Raphson整数分频器应用于高质量干扰取消的NLMS自适应滤波器

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摘要

The division datapath is undoubtedly the most complex operation in a wide range of digital signal processing applications, such as in adaptive filtering algorithms. This paper proposes an optimized and approximate integer divider hardware architecture, based on the Newton-Raphson algorithm combining both fixed-point dynamic range and truncation techniques, to speed up that operation. Adaptive filters have been much studied over time, as they comprise one of the most challenging fields in signal processing. This work presents dedicated hardware architectures based on normalized least mean square adaptive filtering algorithms for the power line harmonics interference cancelling. The hardware architectures are based on 2's complement representation and were described in VHDL and synthesized into a 65 nm CMOS dedicated ASIC. Our results show that the increased approximation level of Newton-Raphson divider approximation presents up to 223 times less power dissipation than the baseline version without our optimization and approximations, providing up to 93 times of power dissipation savings in the complete interference canceller system.
机译:DateDataPath无疑是各种数字信号处理应用中最复杂的操作,例如在自适应滤波算法中。本文提出了一种优化和近似整数分频器硬件架构,基于牛顿Raphson算法,该算法组合了定点动态范围和截断技术,加速该操作。随着时间的推移已经研究了自适应滤波器,因为它们包括信号处理中最具挑战性的领域之一。这项工作介绍了基于标准化最小均方自适应滤波算法的专用硬件架构,用于电力线谐波干扰消除。硬件架构基于2的补充表示,并在VHDL中描述并合成为65nm CMOS专用ASIC。我们的研究结果表明,牛顿-Raphson分频器近似的近似水平呈现到功耗低于基线版本,而无需我们的优化和近似,可以在完整干扰消除器系统中提供高达93次功耗节省的。

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