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
Data and Modeling Assumptions in Physics-Informed Operator Learning
Operator networks have emerged as promising surrogate models, replacing computationally expensive numerical solvers for differential equations. Beyond achieving competitive accuracy with traditional solvers, the practical viability of this approach greatly depends on its training cost, which is comprised of ground truth data acquisition and network optimization. Physics-informed machine learning seeks to reduce reliance on labeled data by embedding the governing differential equations into the loss function; however, such models are often very challenging to train using physics constraints alone.
Read the full article.Contact: Martin Hofmann-Wellenhof