Implementation of a low-complexity low-latency arbitrary resampler on GPUs

S. C. Kim, S. Bhattacharyya
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引用次数: 8

Abstract

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.
在gpu上实现一个低复杂度、低延迟的任意重采样器
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。
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