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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:
Result of the Month
Complex-valued Convolutional Neural Networks for Enhanced Radar Signal Denoising and Interference Mitigation [link]
Autonomous driving highly depends on capable sensors to perceive the environment and to deliver reliable information to the vehicles’ control systems. To increase its robustness, a diversified set of sensors is used, including radar sensors. Radar is a vital contribution of sensory information, providing high resolution range as well as velocity measurements. The increased use of radar sensors in road traffic introduces new challenges. As the so far unregulated frequency band becomes increasingly crowded, radar sensors suffer from mutual interference between multiple radar sensors. This interference must be mitigated in order to ensure a high and consistent detection sensitivity.
Contact: Alexander Fuchs, Johanna RockLatest News
09 Jun 2021 Updated student project: Anomaly Detection in Dairy Cows
09 Jun 2021 Added new student project: Anomaly Detection in Dairy Cows
09 Jun 2021 Updated student project: Monitoring of Dairy Cows with Deep Learning
09 Jun 2021 Added new student project: Monitoring of Dairy Cows with Deep Learning
07 Jun 2021 Added new student project: Speaker Diarization using a small microphone array
25 May 2021 Updated student project: Target Detection in Automotive Radar Signals
21 May 2021 Added new student project: Automatic Speech Recognition using SpeechBrain
17 May 2021 Updated student project: RF Localization in scalable UWB sensor networks
Check older news here.