May 2019
Intermediate to advanced
452 pages
12h 16m
English
Content preview from Hands-On GPU Computing with Python
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Digital-signal processing for communication receivers
The following research paper is discussed in this section: GPU Acceleration of DSP for Communication Receivers, Gunther J, Gunther H, Moon T, Proceedings of the GNU Radio Conference, 2(1), 2017, Pmc: pmc5695887.
In this project, digital-signalling algorithms were implemented in NVIDIA's CUDA API to harness the computational power of GPUs to accelerate digital-signal processing of huge amounts of bandwidth in real time. With Ubuntu 16.04 and a GTX 1080 Ti, 20 MHz of bandwidth was consumed.
Their ultimate goal was to implement the interference, cancellation, and demodulation functions on GPU hardware and achieve faster-than-real-time execution. They mentioned the demand for higher data rates, ...
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