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An efficient GPU implementation of a multirate resampler for multi-carrier systems

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


Original languageEnglish
Title of host publicationIEEE Global Conference on Signal and Information Processing (IEEE GlobalSIP 2015)
PublisherInstitute of Electrical and Electronics Engineers, IEEE
Number of pages5
ISBN (Electronic)978-1-4799-7590-7
Publication statusPublished - 2015
Publication typeA4 Article in a conference publication
EventIEEE Global Conference on Signal and Information Processing -
Duration: 1 Jan 1900 → …


ConferenceIEEE Global Conference on Signal and Information Processing
Period1/01/00 → …


In modern communication systems, a sample rate conversion is necessary since often the system clock is fixed at some specific rate. Such resampling is critical because there exists a tight coupling between the data rates and sampling rates. It is desirable to have a flexible, high performance, and resource efficient resampler that can accommodate various required data rates. To achieve these objectives, we present a novel multirate resampling method based on graphics processing units (GPUs). We also extend this method to multiple dimensions, which enables efficient processing of multiple channels across different frequency bands. The overall result is a flexible, high-throughput, and low-latency implementation that is capable of processing many channels simultaneously.

Publication forum classification

Field of science, Statistics Finland