Projects
A holistic approach to the design of integrated and distributed digital signal processing algorithms for audio and speech communication devices KU Leuven
User-centric distributed signal processing algorithms for next generation cell-free massive MIMO based wireless communication networks KU Leuven
The project considers so-called cell-free massive MIMO (CFmMIMO) systems for next-generation wireless communication networks. Unlike in current cellular systems, where a user is served only by the one access point (AP) of the cell in which it resides, in a CFmMIMO system a user may be served by all APs in the network. This can resolve current interference issues and potentially offer significantly higher spectral efficiency. The goal of the ...
Distributed Digital Signal Processing for Ad-hoc Wireless Local Area Audio Networking KU Leuven
Per-Tone Equalization and Per-Tone Precoding for Speech and Audio Signal Processing KU Leuven
Per-tone equalization and per-tone precoding have been developed as a specific and valuable tool for digital communication, in particular for high-speed so-called DSL modems in telephony networks. DSL adopts a modulation format (DMT) that relies on a discrete Fourier transform based transmultiplexer structure and that allows for the efficient integration of per-tone processing. In this project, per-tone processing will be developed for a ...
Distributed digital signal processing algorithms for highdensity wireless EEG sensor networks with application to ASSR based objective hearing thresholds estimation KU Leuven
Electroencephalography (EEG) is used to analyze brain activity and detect brain responses to specific stimuli. It offers a high temporal resolution versus a low spatial resolution. A higher spatial resolution may be obtained by adopting a higher electrodes density together with powerful digital signal processing (DSP) algorithms. However, hundreds of electrodes then have to be wired to an output device that collects and processes all ...
Digital Signal Processing Algorithms for Noise Reduction, Dynamic Range Compression, and Feedback Cancellation in Hearing Aids KU Leuven
SRP-Onderzoekszwaartepunt: Learning-based Signal and Data Processing Systems (LSDS) Vrije Universiteit Brussel
Signal processing algorithms for attention decoding of brain responses to natural stimuli in brain-computer interfaces KU Leuven
Brain-computer interfaces (BCI) enable the human brain to interact with machines, opening doors to various high-impact applications. However, most experimental BCI paradigms require the user to concentrate on synthetic and repeated stimuli, inducing fatigue and interfering with natural behavior. This unnatural interaction blocks the widespread usage of BCIs in daily-life situations beyond a few niche clinical applications.
In this ...