Publicaties
Gekozen filters:
Gekozen filters:
Distributed Signal Processing Algorithms for Multi-Task Wireless Acoustic Sensor Networks KU Leuven
Recent technological advances in analogue and digital electronics as well as in hardware miniaturization have taken wireless sensing devices to another level by introducing low-power communication protocols, improved digital signal processing capabilities and compact sensors. When these devices perform a certain pre-defined signal processing (SP) task such as the estimation or detection of phenomena of interest, a cooperative scheme through ...
Distributed Signal Processing Algorithms for Combined Noise Reduction and Acoustic Echo and Feedback Cancellation KU Leuven
The quality of a speech signal recorded through multiple microphones can be compromised by various undesired signals, including noise and reverberation, leading to diminished intelligibility. Some of these undesired signals may be generated by loudspeakers within the same acoustic environment, potentially generating acoustic echoes and/or feedback. Multi-microphone speech enhancement systems aim at suppressing or canceling these interference ...
Distributed Signal Processing Algorithms for Sensor and Actuator Networks KU Leuven
Technological progress in current analogue and digital devices together with the miniaturization of hardware have pushed sensing and actuating devices to new heights. Devices can perform more computationally intensive digital signal processing (DSP) tasks for a similar or even lower power budget and more devices can be placed on the same surface area, enriching DSP algorithms with more inputs/outputs and hence more degrees of freedom. When these ...
Advanced Signal Processing for Magnetic Resonance Spectroscopy (Geavanceerde signaalverwerking voor magnetische resonantie spectroscopie) KU Leuven
Assertive diagnosis of cancer, Alzheimers disease, epilepsy and other metabolic diseases is essentialto provide patients with the adequate treatment. Recently, different invasive and non-invasive techniques have been developed for this purpose, nevertheless, due to their harmless properties the non-invasive techniques have gained more value. Magnetic Resonance is a well-known non-invasive technique that provides spectra (metabolite peaks) and ...
Signal Processing Algorithms for Wireless Acoustic Sensor Networks (Signaalverwerkingsalgoritmes voor draadloze akoestische sensornetwerken) KU Leuven
Recent academic developments have initiated a paradigm shift in the way spatial sensor data can be acquired. Traditional localized and regularly arranged sensor arrays are replaced by sensor nodes that are randomly distributed over the entire spatial field, and which communicate with each other or with a master node through wireless communication links. Together, these nodes form a so-called `wireless sensor network' (WSN). Each node of a WSN ...
Emerging subjectivities: The differentiation-integration principle of signal processing within the visual system's hierarchy. KU Leuven
Emergerende subjectiviteiten: Het differentiatie-integratie pri ncipe van signaalverwerking binnen de hiërarchie van het visueel systeem Wanneer een deel in ons beeld ontbreekt, is ons visueel systeem toch in staat om dit ontbrekende deel te vervolledigen. Dit fenomeen noemt men vervollediging. Deze vaardigheid is essentieel om objecten waar te nemen in natuurlijke omgevingen, waar deze objecten gedeeltelijk bedekt, gecamoufleerd of ...
Distributed Signal Processing Algorithms for Acoustic Sensor Networks KU Leuven
The first part of this thesis focuses on a concrete application, investigating the improvements that can be achieved in terms of noise reduction performance and spatial cue preservation by adding a single remote sensor (microphone) to a binaural noise reduction system, e.g. binaural hearing aids or cochlear implants. The increase in the noise reduction performance by the addition of a remote sensor signal serves as the motivation for later ...
Signal Processing for Monitoring Cerebral Hemodynamics in Neonates (Signaalverwerking voor het opvolgen van cerebrale hemodynamische bij pasgeborenen) KU Leuven
Disturbances in cerebral hemodynamics are one of the principal causes of cerebral damage in premature infants. Specifically, changes in cerebral blood flow might cause ischemia or hemorrhage that can lead to motor and developmental disabilities. Under normal circumstances, there are several mechanisms that act jointly to preserve cerebral hemodynamics homeostasis. However, in case that one of these mechanisms is disrupted the brain is exposed to ...
Signal Processing Methods for Home Monitoring of People with Epilepsy with a Network of Wearable EEG Sensors KU Leuven
Epilepsy is one of the most common severely disabling brain conditions, affecting over 46 million people worldwide. It is characterised by recurring, sudden, excessive, synchronous electrical activity in neuronal networks that disrupt ongoing brain activity and causes clinical seizures. Diagnosis and follow-up of epilepsy typically relies on electroencephalography (EEG). Clinical EEG is a non-invasive electrophysiological measurement technique ...