Multimedia Systems
Research in this field is about multimedia signal processing for big data and multimedia transmission in wireless networks under Quality-of-Service (QoS) constraints specific to the applications.
On the signal processing side, the work particularly involves advanced methods for big data such as compressed sensing, iterative recovery algorithms and sparse model selection -- a variety of machine learning -- with applications, e.g., in image processing and communications.
For multimedia transmission topics include multiuser information theory, flexible and powerful channel codes that can be decoded efficiently, code designs for multihop applications such as “relaying”, practical schemes for joint source-channel coding, signal processing algorithms for user interfaces as well as Cross-Layer design for multiuser systems. The goal is to optimise the overall system performance while efficient use is made of the resources (bandwidth, power, complexity) and the QoS demands of the users’ applications are met.