Tutorials
File Recording with the AIR-T

Recording RF Data with the AIR-T We have received a few requests for a detailed tutorial on how to record signal data using the AIR-T. The Deepwave team does this regularly to record training data for our neural networks. It is convenient to record with the AIR-T because it can enable you to control equipment […]

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Custom GPU Signal Processing with GNU Radio on the AIR-T

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 […]

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Upgrade GR-Wavelearner on the AIR-T

Performing FFTs using the GPU on the AIR-T The Deepwave Digital team pushes regular updates to GR-Wavelearner. Follow these instructions to upgrade to the latest version. Step 1: Update GR-Wavelearner Make sure that you have the latest version of the GR-Wavelearner repository. By default GR-Wavelearner’s source code is in /usr/local/src/deepwave. To update the repository perform […]

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Tutorial 1: Hello World

Hello World In this tutorial we show you how to perform basic functionality with the AIR-T using the Python interface. You will learn how to interact with the radio drivers, stream signal data from the radio to the Tegra, and create a one-time plot of the wireless spectrum. We provide the source code, a step-by-step […]

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AIR-T Getting Started Guide

The AIR-T Getting Started Guide The team at Deepwave Digital would like to than you for helping to advanced the field of deep learning and GPU enabled software defined radios! We hope you find the system helpful for all of your technical pursuits. Unboxing the AIR-T Check to ensure that your AIR-T box includes the […]

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