Presentation description

We report on the challenges and success of using neural networks to recover a jammed RF-transmitted image. Using the Ettus B200 radios from national instruments we transmit both the image and jammer (electromagnetic interference) and receive this signal. Then we pass the RF through a Wavenet or UNet Transformer neural network architecture, reassemble the image and pass the image through a Unet neural network architecture to recover the original image.