The concept of Software-defined radio is not new, it has been around for years. It is basically about moving complex signal handling over to a digital software platform via PCs and smart systems.
While we have seen Artificial Intelligence already been implemented in a host of applications like speech recognition, gaming and autonomous vehicles, we are yet to see it being adapted for software-defined radio or incorporated into an RF hardware solution. This is why Deepwave Digital, a hardware and software solutions provider, has taken it upon themselves to come up with a Software-defined Radio with deep-learning muscle, called AIR-T.
The concept of Software-defined radio is not new, it has been around for years. It is basically about moving complex signal handling over to a digital software platform via PCs and smart systems.
While we have seen Artificial Intelligence already been implemented in a host of applications like speech recognition, gaming and autonomous vehicles, we are yet to see it being adapted for software-defined radio or incorporated into an RF hardware solution. This is why Deepwave Digital, a hardware and software solutions provider, has taken it upon themselves to come up with a Software-defined Radio with deep-learning muscle, called AIR-T.
This versatile system can function as a highly parallel SDR, data recorder, or inference engine for deep learning algorithms. The embedded GPU allows for SDR applications to process bandwidths greater than 200 MHz in real-time.” says Deepwave. “The AIR-T also uses zero copy memory access to overcome the data transfer overhead typically associated with GPU processing.
Read more: AIR-T: WHEN ARTIFICIAL INTELLIGENCE MEETS WITH RADIO – TRANSCEIVER
