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Chair of Multimedia Communications and Signal Processing
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  1. Friedrich-Alexander-Universität
  2. Faculty of Engineering
  3. Department Electrical Engineering

Chair of Multimedia Communications and Signal Processing

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  4. Machine Learning in Signal Processing

Machine Learning in Signal Processing

In page navigation: Research
  • Fields of Activity
    • Video Signal Processing and Transmission
      • Intelligent Image and Video Analytics
      • Next-Generation Video Communications
      • Advanced Image Sensing Systems
    • Audio and Acoustic Signal Processing
      • Acoustic Human-Machine Interfaces
      • Acoustic Scene Analysis
      • Sound Rendering
    • Machine Learning in Signal Processing
      • Always-on Deep Neural Networks
      • Sim2Real
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    • Decoding-Energy-Rate-Distortion Optimization (DERDO) for HEVC Video Coding
    • Fisheye Data Set
    • Reconstruction of HDR Videos using Multiple Camera Setups
    • Schüßler, Digitale Signalverarbeitung 1 and 2
    • Superresolution

Machine Learning in Signal Processing

In machine learning, and especially in deep learning, the focus is on both fundamental and applied research. Machine learning algorithms are developed for anomaly detection, uncertainty estimation, out-of-distribution detection, few-shot learning, noisy label learning, as well as hardware motivated problems such as model compression and efficient design of neural network architectures. Applications range from automated driving, computer vision and medical image analysis to signal processing. For example, trajectory and motion prediction, localisation, and image and point cloud segmentation are some examples of practical problems.

Chair of Multimedia Communications and Signal Processing
Cauerstr. 7
91058 Erlangen
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