This project investigates the theory and applications of threshold based sampling in signal processing. It addresses the combination of threshold based sampling approaches and reconstruction algorithms, especially in the context of estimation problems. One of its aims is to design reconstruction algorithms tailored for specific engineering problems and to optimize the algorithms in terms of estimation performance as well as computational complexity.