Publications
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Adaptive axonal delays in feedforward spiking neural networks for accurate spoken word recognition Ghent University
Spiking neural networks (SNN) are a promising research avenue for building accurate and efficient automatic speech recognition systems. Recent advances in audio-to-spike encoding and training algorithms enable SNN to be applied in practical tasks. Biologically-inspired SNN communicates using sparse asynchronous events. Therefore, spike-timing is critical to SNN performance. In this aspect, most works focus on training synaptic weights and few ...
Comparison between black box and gray box strategies for configuration of feedforward waveguide meshes Ghent University
Physical and cognitive exertion do not influence feedforward activation of the trunk muscles : a randomized crossover trial Ghent University
Pupil size directly modulates the feedforward response in human primary visual cortex independently of attention Ghent University
Improving the dynamic stiffness in a self-sensing BLDC machine drive using estimated load torque feedforward Ghent University
This paper presents a load torque estimation method for self-sensing brushless DC drives. Torque ripples in brushless DC machines can be reduced using load torque information. This method uses the terminal voltage, the virtual neutral point voltage and the DC-bus current of the machine. The algorithm uses the variation of successive back-EMF samples to estimate the rotor speed. The rotor position is estimated by defining an intermediate function ...