Learning Curves: How do Data Imbalances affect the Learning Curves using Nearest Mean Model?

This research investigates the impact of data imbalances on the learning curve using the nearest mean model. Learning curves are useful to represent the performance of the model as the training size increases. Imbalanced datasets are often encountered in real-life scenarios and pose challenges to standard classifier models impacting their...

RF Power Amplifier Test System: for Interpolating-supply Power Amplifiers

The objective of the bachelor graduation project detailed in this thesis is the development of a system suited for testing radio frequency (RF) power amplifiers (PAs). This PA test system is in particular set up for testing two-transistor interpolating-supply amplifiers.<br/>Interpolating-supply PAs are efficiency-enhanced by employing multiple...