Signals and Systems

We study many different problems in signal processing, automatic control, machine learning and wireless communications.

The Division of Signals and Systems conducts research and teaching in signal processing, automatic control, machine learning and wireless communications. We research on security for control systems, detection, harvesting based wireless sensor networks, vehicle platoons, audio signal processing and 5G/6G.

We have two PhD programs: Electrical Engineering with Specialisation in Signal Processing and Electrical Engineering with Specialization in Automatic Control.

Our research is primarily financed by the Swedish Research Council (VR), The Foundation for Strategic Research (SSF), Sweden's Innovation Agency (VINNOVA), The Swedish Research Council for Sustainable Development (FORMAS) and The Knut and Alice Wallenberg Foundation KAW.

Research areas

Signal Processing and Wireless Communications

We study everything from energy efficiency in wireless sensor networks, energy harvesting and wireless power transfer, to 5G/6G communication and distributed machine learning.

Automatic Control, Robotics, Security and Privacy

Our research includes everything from intelligent systems, multiagent control and networked control systems, to cybersecure machine learning.

Audio and Acoustic Signal Processing

We research on improving the sound quality of audio systems, digital correction of the room and loudspeaker acoustics, Active Noise Control (ANC), and Acoustic Zones.

Lab resources

We have several laboratory facilities and offer lab resources for hire:

Combined anechoic and microwave/EMC chamber (11,9 x 9,6 x 6,1 m)
Audio lab with measurement robot and numerous loudspeakers
Multi-purpose electronics lab, signal generator and spectrum analyser
Our own high performance computational facilities

We offer lab resources for acoustic and radio-frequency measurements financed by national agencies to stimulate collaboration with the surrounding community. Please take advantage of our expertise and resources!

Combined anechoic and microwave/EMC chamber

The Division of Signals and Systems led the design and construction of an anechoic chamber designed for acoustic and radio-frequency measurements at the Ångtröm Laboratory at Uppsala University. The chamber was finalised in 2009, has a size of (LxWxH) 11.9 x 9.6 x 6.1 m and constitutes a well-damped environment in which experiments can be performed to evaluate the effectiveness of different algorithms.

Audio lab with measurement robot and numerous loudspeakers

The audio equipment consists of sixteen active ATC loudspeakers, eight DPA microphones and two Prism Orpheus sound cards with eight inputs and sixteen outputs. The chamber, together with the equipment, thus constitutes an excellent testbed for conducting controlled acoustic experiments.

The chamber and measurement equipment were funded by the Knut and Alice Wallenberg Foundation.

For more information about our lab resources, access and collaboration, contact our Financial Officer Caroline Lindström

Our latest publications at the Division of Signals and Systems

SHED: A Newton-type algorithm for federated learning based on incremental Hessian eigenvector sharing
Dal Fabbro, Nicolò; Dey, Subhrakanti; Rossi, Michele et al., 2024
A Multihypotheses Importance Density for SLAM in Cluttered Scenarios
Kaltiokallio, Ossi; Hostettler, Roland; Ge, Yu et al., 2024
Extended Target Tracking Utilizing Machine-Learning Software-With Applications to Animal Classification
Malmstrom, Magnus; Kullberg, Anton; Skog, Isaac et al., 2024
Quickest detection of bias injection attacks on the glucose sensor in the artificial pancreas under meal disturbances
Tosun, Fatih Emre; Teixeira, André; Abdalmoaty, Mohamed R. -H. et al., 2024
Uncertainty quantification in neural network classifiers - A local linear approach
Malmstrom, Magnus; Skog, Isaac; Axehill, Daniel et al., 2024

More publications

About us

Learn more about us and our history.

Contact

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