An efficient GPU implementation of a multirate resampler for multi-carrier systems
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review
Details
| Original language | English |
|---|---|
| Title of host publication | IEEE Global Conference on Signal and Information Processing (IEEE GlobalSIP 2015) |
| Publisher | Institute of Electrical and Electronics Engineers, IEEE |
| Pages | 751-755 |
| Number of pages | 5 |
| ISBN (Electronic) | 978-1-4799-7590-7 |
| DOIs | |
| Publication status | Published - 2015 |
| Publication type | A4 Article in a conference publication |
| Event | IEEE Global Conference on Signal and Information Processing - Duration: 1 Jan 1900 → … |
Conference
| Conference | IEEE Global Conference on Signal and Information Processing |
|---|---|
| Period | 1/01/00 → … |
Abstract
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.