基于半带滤波器的硬件优化数字重采样器

Bakholdin Nikita, A. Degtyarev, Sergey Bakhurin
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引用次数: 0

摘要

本文主要研究硬件优化半带滤波器作为低通滤波器在重采样方案中的应用。滤波器硬件优化是通过量化算法实现的,该算法允许用移位寄存器和加法器集替换乘法器。这种方法减少了晶体面积和功耗。此外,目前的工作建议研究硬件优化滤波器与初始滤波器的差异对重采样方案性能的影响。此外,与初始滤波器特性相比,硬件复杂性降低了滤波器资源。该方法可以提供可接受的误差水平(-60 dB),并将复杂度降低高达70%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hardware optimized digital resamplers based on half-band filters
Current paper proposes the research of hardware optimized half-band filters exploitation as low-pass filters in a resampling scheme. Filters hardware optimization is implemented by the quantization algorithm, which allows to replace multipliers with the set of shift registers and adders. This approach provides reduction of a crystal area and power consumption. Also, current work proposes the research of the influence of hardware optimized filters difference from initial filters on the resampling scheme performance. In addition hardware complexity-reduced filters resources compared with the initial filters characteristics. The proposed method can provide acceptable error level (-60 dB) and reduce complexity up to 70%.
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