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

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review


Original languageEnglish
Title of host publication2014 IEEE Dallas Circuits and Systems Conference: Enabling an Internet of Things - From Sensors to Servers, DCAS 2014
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781479959235
Publication statusPublished - 21 Nov 2014
Publication typeA4 Article in a conference publication
Event10th IEEE Dallas Circuits and Systems Conference, DCAS 2014 - Richardson, United States
Duration: 12 Oct 201413 Oct 2014


Conference10th IEEE Dallas Circuits and Systems Conference, DCAS 2014
CountryUnited States


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.


  • Arbitrary resampling, DSP accelerator, GPU front-end receiver, GPU-based radio, sample rate conversion