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Signal Processing and Inference

Cyber Physical Systems combine a plethora of data from multiple sensors, robots and people. Different sources of noise in the sensor data make the tasks of signal processing, inference and learning particularly challenging. This activity encompasses a number of algorithms for denoising, sensor fusion, cross modality training and pattern recognition in sensor data. Applications range from activity detection and wellness monitoring to identification and authentication systems.

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