Abstract: Deep supervised learning algorithms typically require a large volume of labeled data to achieve satisfactory performance. However, the process of collecting and labeling such data can be ...

Abstract: A TDM/FDM conversion algorithm for realizing transmultiplexers with an FFT processor and a set of digital subfilters is proposed which provides a significant saving in multiplication rate.