Data sampling and processing: Uniform vs. non-uniform schemes
Data sampling and processing: Uniform vs. non-uniform schemes
复制标题
数据采样和处理：统一方案与非统一方案
DOI：
10.1109/ebccsp.2015.7300665
复制
发表时间：
2015
期刊：
影响因子：
--
通讯作者：
R. Rolland
中科院分区：
文献类型：
--
作者：
T. Beyrouthy;L. Fesquet;R. Rolland
之前的工作已经表明，非均匀采样和处理是比均匀采样更好的方案来采样和处理低活动信号。非均匀采样技术产生更少的样本，这意味着需要处理的数据更少并且功耗更低。此外，众所周知，异步逻辑是数据驱动的。事实证明，它比同步逻辑更适合非均匀采样。因此，它是设计低功耗数据处理电路的更好替代方案。在本文中，我们概述了非均匀采样方案。它还描述了同步和异步技术中的处理功能（有限脉冲响应滤波器）的体系结构。这些电路已在 Altera EP2C8 FPGA 上实现，以便提取和比较它们的活动概况。
It has been shown in previous works that non-uniform sampling and processing is a better scheme than the uniform sampling to sample and process low activity signals. Non-uniform sampling technique generates fewer samples, which means less data to process and lower power consumption. Furthermore, asynchronous logic is known to be data-driven. It proves to be more adapted to the non-uniform sampling than synchronous logic. It is thus a better alternative to design low power data-processing circuits. In this paper, we present an overview of the non-uniform sampling scheme. It also describes the architectures of a processing function (Finite Impulse Response filter) in synchronous and asynchronous technologies. These circuits have been implemented on an Altera EP2C8 FPGA in order to extract and compare their activities profiles.