End-to-End Signal Processing and Deep Learning Using Embedded GPUs The following presentation was given at NVIDIA’s GPU Technology Conference (GTC) in Washington, DC on November 5, 2019. It was a great event where technology was showcased from many different research areas. Presenter Daniel Bryant Abstract We’ll present the GPU-accelerated digital signal processing (DSP) applications enabled […]
The Premier AI Event is back in DC "The center of the AI ecosystem shifts to D.C. this fall, when the GPU Technology Conference arrives at the Reagan Center in Washington, from Nov. 4-6." Check out the full NVIDIA Blog post here. The GTC DC event is a top-tier AI conference directed towards government, defense, […]
Overview This tutorial will teach you how to integrate GPU processing using CUDA with GNU Radio on the AIR-T software defined radio. Once completed, you will be able to build a custom GPU processing block within GNU Radio and use it to process your own signals. The tutorial assumes some familiarity in programming in Python […]
FFTs with CUDA on the AIR-T with GNU Radio GPUs are extremely well suited for processes that are highly parallel. The Fast Fourier Transform (FFT) is one of the most common techniques in signal processing and happens to be a highly parallel algorithm. In this blog post the Deepwave team walks you though how to […]
Title: Simplifying AI for Communications, Radar, and Wireless Systems Presented by John Ferguson (CEO Deepwave Digital) Abstract Radio frequency (RF) systems have become increasingly complex, and the number of connected devices is expected to increase. We’ll discuss how deep learning within RF shows promise for dealing with a congested spectrum by enhancing reliability and simplifying […]
