Artificial Intelligence Radio - Transceiver (AIR-T)

by Deepwave Digital

A high-performance SDR seamlessly integrated with state-of-the-art deep learning hardware

View all updates Apr 02, 2020

Deepwave and NVIDIA Collaborate for cuSignal 0.13 Release

by Steven K

Read our recent Medium article that highlights a collaboration between NVIDIA and Deepwave Digital for the latest cuSignal 0.13 release.

cuSignal 0.13 Release

Deepwave Digital collaborated with NVIDIA to enable their latest release enhance the online processing capability for the AIR-T. For those new to cuSignal, it is a GPU-accelerated version of SciPy Signal Library with the goal of allowing traditional signal processing at GPU speeds. cuSignal is part of the RAPIDS program at NVIDIA.

cuSignal on the AIR-T

Among the new features in this cuSignal release is a polyphase resampling filter. In the video below we demonstrate an 8x real-time data rate improvement (0.467 Mbits/sec vs. 3.7 Gbits/sec) on an embedded Jetson TX2 GPU over an embedded ARM CPU. Both benchmarks were executed on the AIR-T. These python interfaces to GPU accelerated signal processing functions, along with intuitive function calls for allocating GPU/CPU shared memory, provide a clean user interface compared to other hardware accelerated signal processing libraries.

More Information

If you are interested in learning more, check out the Medium article.

To get started with cuSignal on the AIR-T, see the Deepwave’s tutorial here.

If you want to know more about Deepwave Digital products, click here.

For articles, blogs, and webinars releases, click here.

About the Author

Steven K

steve-deepwave  ·   Philadelphia, PA


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AIR-T

The AIR-T is the first platform that enables out-of-the-box machine learning wireless systems. Simply port current GNURadio or code directly in Python to access the radio frequency spectrum. Includes, AIR-T board, four MCX-to-SMA cables, getting started tutorial, and power supply.


$5,899

Air-T With Enclosure

The AIR-T is the first platform that enables out-of-the-box machine learning wireless systems. Simply port current GNURadio or code directly in Python to access the radio frequency spectrum. Includes, AIR-T board, four MCX-to-SMA cables, getting started tutorial, and power supply. The Air-T enclosure is expertly constructed from aluminum to produce a polished, elegant, and sleek metallic silver finish. It measures 192 x 182 x 79 mm (7.5 x 7.2 3.1 inches) and the power button illuminates blue when they system is on. All RF ports are brought to the front of the enclosure for ease of use and all computer peripherals connections are brought to the rear.

Credits

Deepwave Digital

We are a dedicated team of radio frequency and wireless industry experts with over fifty years of combined experience providing digital signal processing solutions to the commercial and defense industries. We understand both the technical capabilities as well as the limitations of these technologies, leading us to develop novel hardware and software solutions to combine the fields of artificial intelligence and signal processing.


John Ferguson

Steven Kline

Peter Witkowski

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