{"title":"在gpu上实现一个低复杂度、低延迟的任意重采样器","authors":"S. C. Kim, S. Bhattacharyya","doi":"10.1109/DCAS.2014.6965333","DOIUrl":null,"url":null,"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.","PeriodicalId":138665,"journal":{"name":"2014 IEEE Dallas Circuits and Systems Conference (DCAS)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":"{\"title\":\"Implementation of a low-complexity low-latency arbitrary resampler on GPUs\",\"authors\":\"S. C. Kim, S. Bhattacharyya\",\"doi\":\"10.1109/DCAS.2014.6965333\",\"DOIUrl\":null,\"url\":null,\"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.\",\"PeriodicalId\":138665,\"journal\":{\"name\":\"2014 IEEE Dallas Circuits and Systems Conference (DCAS)\",\"volume\":\"2 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2014-11-24\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"8\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2014 IEEE Dallas Circuits and Systems Conference (DCAS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/DCAS.2014.6965333\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 IEEE Dallas Circuits and Systems Conference (DCAS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/DCAS.2014.6965333","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
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.