Next-Gen Wireless Prototyping with MathWorks & NI
Join NI and MathWorks for a free NI Open House hosted by Cyth Systems.
Start Date:
April 29, 2026 at 7:00:00 PM
End Date:
April 29, 2026 at 8:30:00 PM
9939 Via Pasar, San Diego, CA 92126
Join NI and MathWorks for a free NI Open House hosted by Cyth Systems. We will provide lunch, technical presentations, live demos, and Q&A with NI and MathWorks engineers.
Modern wireless system design often begins in simulation and gradually incorporates real‑time software, processors, and hardware representative of the deployed system. Accelerating this progression is far easier when development tools interoperate seamlessly, allowing engineers to prototype quickly, validate performance early, and integrate hardware with confidence.
Discover how to bring hardware into your workflow earlier to prototype algorithms and shorten iteration cycles. We will present an update on some of the latest topics in wireless, including 5G/6G, integrated sensing and communications (ISAC), non-terrestrial networks, and AI/ML for wireless applications. We will also introduce NI's USRP software-defined radio platform and how USRPs can be programmed with MATLAB to prototype advanced wireless research applications. Stick around after the talk for live demos and Q&A with the NI and MathWorks teams.
Highlights:
Examples of I/O support for USRPs
HDL targeting support for a USRP-based radar target emulator
MATLAB connectivity to the VST for wideband applications
ISAC (integrated sensing and communications) overview
WHAT TO EXPECT
Agenda
11:45 AM
Doors Open, Lunch Available
12:00 PM
Technical Session
1:00 PM
Live Demos and Q&A
Session Information
Introduction to RF system design challenges
NI SDR and RF hardware portfolio overview
Software overview – Developing models/algorithms using NI RF hardware and MATLAB
Industry trends update
6G and cellular spectrum overview
Integrated sensing and communications
Non-terrestrial networks
Demo Information
Integrated Sensing and Communications - MATLAB Demo
See how you can use MATLAB and a high-end USRP radio to perform integrated sensing and communications. Transmit a custom OFDM waveform over the air, then model a radar target with an HDL-based bitstream deployed to the USRP’s FPGA, then use MATLAB to demodulate the OFDM waveform down to bits, and use some simple FFT processing on the OFDM channel estimates to perform a bistatic radar computation.
Real-Time AI Spectrum Sensing using NI USRP and Edge Computing
This demo uses an NI-provided, open-source Python reference design built on the NI RF Data Recording and Data Streaming APIs to enable real-time spectrum sensing and AI-based signal classification. NI USRP SDRs serve as the RF transmitter and receiver front ends, streaming baseband IQ data to an NVIDIA Jetson module acting as an edge processor. The Jetson leverages its onboard GPU to perform high-speed FFTs, signal classification, and realtime metadata tagging.
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