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.

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


Result of the Month April 2014

Previous results of the month


Many scientific disciplines, such as systems biology or natural language processing, suffer from Markov chains with exploding state spaces. Markov aggregation, i.e., finding a ´╗┐Markov chain on the partition ´╗┐of the original state space, is one way to reduce the computational complexity of the model. We provide an information-theoretic cost function for the problem of Markov aggregation and show that the information bottleneck method, a popular technique in machine learning, can be used to find a solution iteratively.