High-speed adaptive analog filter based on fully analog artificial neural network

This paper presents an innovative concept of a high-speed and higher order adaptive filter. A fully analog artificial neural network handles the adaption by using a filter bank for filtering and learning through analog feedback inspired by backpropagation. There is no clock control used in this concept, which makes real-time adaption possible even for high frequencies. Its functionality is shown by several electrical circuit simulations involving component inaccuracies as well as a commonly used filter example.