Overview: Matplotlib mistakes often come from poor layout, unclear labels, and wrong scale choices, not from the data ...

This project is mostly for internal use, however it is made public as the concept of audit logging is quite generic. We are careful about accepting contributions and those would have to align with our ...

Abstract: Fixed-point quantization techniques have attracted considerable attention in deep neural network (DNN) inference acceleration. Nevertheless, they often require time-consuming fine-tuning or ...

Abstract: Recently, the logarithmic hyperbolic cosine adaptive filter (LHCAF) was proposed and was seen to demonstrate excellent robustness against impulsive interference. However, for the modelling ...