Discrimination Training and Reweighting of Interaural Cues
This project focuses on discrimination training and reweighting of interaural level vs. time difference cues in normal-hearing listeners for sound localization. It explores the dominant cues at different frequencies and factors influencing binaural cue weighting. The study aims to reweight these cue
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Understanding Particle Filters in Non-parametric Systems
Particle filters, also known as non-parametric filters, are a powerful tool for state estimation in dynamic systems. These filters represent density using a set of samples drawn from the density, known as particles. Through resampling and reweighting, particle filters track the state of a system ove
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