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:
- Audio and Acoustics
- Intelligent Systems
- Nonlinear Signal Processing
- Speech Communication
- Wireless Communications
Profiles
Result of the Month
B-PL-PINN: Stabilizing PINN Training with Bayesian Pseudo Labeling
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