DeepSig Blog

Reinventing Wireless with Deep Learning

OmniSIG Sensor and the DeepWave AIR-T

Posted by DeepSig on Apr 13, 2021 5:27:48 PM

Please bear with us, as we highlight a wireless sensing solution which leverages components from two separate companies with very similar names. Ourselves, DeepSig and a valued partner, DeepWave.  

DeepSig’s ML software products are designed for agility and ease of integration and operation on a variety of radio platforms. Today we highlight the OmniSIG software operating on DeepWave's Artificial Intelligence Radio Transceiver (AIR-T) software defined radio (SDR) platform. (https://deepwavedigital.com/hardware-products/sdr/).  

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Topics: Wireless Signal Detection, OmniSIG, nvidia, air-t, wireless, sensing, jetson, tx2, deepwave

DeepSig Opens New 5G Wireless AI Lab to Enable Advanced Research and Development

Posted by DeepSig on Mar 15, 2021 10:36:16 AM

DeepSig’s new 5G Wireless AI Lab has officially opened. The lab includes an end-to-end 5G network using state-of-art, commercial grade, multi-vendor products and tools. The 5G Wireless AI Lab focuses on measuring and validating machine learning software on over-the-air calls and data using 5G Open virtual radio access network (vRAN) and signal classification for dynamic spectrum allocation and interference mitigation.

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Topics: Deep Learning, 5G Wireless, Wireless Signal Detection, Machine Learning

How AI Increases the Speed and Accuracy of Wireless Signal Detection

Posted by DeepSig on Oct 26, 2020 3:08:15 PM

Wireless signals transmit data through the electromagnetic spectrum which is divided into frequencies for different uses by international regulations (e.g., the ITU) and each country’s spectrum regulator (such as the FFC/NTIA, Ofcom, MIC). The portion of the electromagnetic spectrum typically used for wireless communications is known as the radio frequency (RF) spectrum.

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Topics: Deep Learning, Wireless Signal Detection, Machine Learning

Introduction to Commercial Drone Signals

Posted by DeepSig on Aug 14, 2020 10:22:20 AM

Commercial and hobbyist drones come in many different shapes and sizes, both physically and with respect to their wireless control and data signal types. Nikola Tesla had one of the first visions of unmanned aerial vehicles and described his vision in the patent, “Method of and apparatus for controlling mechanism of moving vessels or vehicles,” that was granted November 8, 1898. In this patent, he suggested that these vehicles would be controlled by “waves, impulses, or radiations”.

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Topics: Deep Learning, Drone Detection, Wireless Signal Detection