GPU Based Implementation of a 64-Channel Polyphase Channalizer

被引：0
作者：
Al-safi, Amean [1 ]
Bazuin, Bradley [1 ]
机构：
[1] Western Michigan Univ, Elect & Comp Engn, Kalamazoo, MI 49008 USA
来源：
2015 IEEE DALLAS CIRCUITS AND SYSTEMS CONFERENCE (DCAS) | 2015年
关键词：
DFT; FFT; GPU; GPGPU; polyphase channalizer;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
Polyphase filter bank channalizers are essential components in numerous communication systems involving signal separation and sample rate conversion. In this paper, a novel fully parallelized 64 channels polyphase channalizer has been implemented using general purposes graphic processing units (GPGPU). The implemented models have been compared with a corresponding serial implemented model. The comparison indicates that the parallel models provide a computation speed of 9-16 times faster than the serial one using Nvidia GeForce GT520M and Quadro 600 GPUs.
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页数：4
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