在gpu上实现一个低复杂度、低延迟的任意重采样器

S. C. Kim, S. Bhattacharyya
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引用次数: 8

摘要

现代通信系统的数据速率和采样速率是紧密耦合的。重新采样是必要的,以便转换到所需的采样率,通常是数据速率的倍数。重采样过程是收发器系统不可分割的一部分,必须精确而仔细地设计。本文提出了一种基于图形处理器(gpu)的低复杂度、低延迟任意重采样方法。我们提出的灵活且基于全软件的重采样方法不需要预先计算滤波器,并且通过利用gpu的独特功能产生高性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Implementation of a low-complexity low-latency arbitrary resampler on GPUs
Modern communication systems have data rates and sampling rates that are tightly coupled. Resampling is necessary in order to convert to some desired sampling rate, which is usually a multiple of the data rate. The resampling process is an integral part of transceiver systems and must be designed accurately and carefully. In this paper, we present a low complexity and low latency arbitrary resampling method based on graphics processing units (GPUs). Our proposed flexible and all-software-based resampling method requires no precomputation of filters and yet yields high performance by taking advantage of unique features found in GPUs.
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