Signal Processing and Speech Communication Laboratory
Office Building

Welcome!

In 2000, the Signal Processing and Speech Communication Laboratory (SPSC Lab) of Graz University of Technology (TU Graz) was founded as a research and education center in nonlinear signal processing and computational intelligence, algorithm engineering, as well as circuits & systems modeling and design. It covers applications in wireless communications, speech/audio communication, and telecommunications.

If you want to learn more about Signal Processing, click: What is Signal Processing?

The Research of SPSC Lab addresses fundamental and applied research problems in five scientific areas:

Profiles

Result of the Month

B-PL-PINN: Stabilizing PINN Training with Bayesian Pseudo Labeling

rotm 08 2025

Physics-informed neural networks (PINNs) are known to have poor training convergence if they are used to solve boundary value problems, i.e., if they should learn the solution to a partial differential equation given only initial and boundary conditions. Previous work has shown that training is more stable if the computational domain – the extent of the space and time coordinates for which the PDE should be solved – is small. As a consequence, a series of domain decomposition and collocation point sampling methods were proposed to improve training convergence.

Read the full article.
Contact: Bernhard Geiger