AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Using a Hypernet Common Filter to Predict the Channel Characteristics
We have a continuum of parometers for the common filter and we also can still have a nice way of making it end to end trainable. So, you know, the benefit over the traditional approach is sat its entend trainable. You can just expose it to data, and then it learns, and the it's ready to go. And so one interesting thing was when we had ls tm train on one particular pilot density, or frequency at which we send these pilots, i didn't just perform worse. It actually in some cases, was somewhat significantly a lower in performance. We were able to show that this what we're calling this nerl augmented colman filter,. specifically bec