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Found 6 papers, 0 papers with code
Graph learning methods to extract empathy supporting regions in a naturalistic stimuli fMRI
Our novel processing pipeline applies graph learning methods to whole-brain timeseries signals, incorporating high-pass filtering, voxel-level clustering, and windowed graph learning with a sparsity-based approach.
Localization of DOA trajectories -- Beyond the grid
The direction of arrival (DOA) estimation algorithms are crucial in localizing acoustic sources.
Improving trajectory localization accuracy via direction-of-arrival derivative estimation
In this paper, we do a comprehensive analysis of improvement in sound source localization by combining the direction of arrivals (DOAs) with their derivatives which quantify the changes in the positions of sources over time.
Particle Flow Gaussian Sum Particle Filter
In this paper, we use bank of PFGPF filters to construct a Particle flow Gaussian sum particle filter (PFGSPF), which approximates the predictive and posterior as Gaussian mixture model.
Particle Flow Gaussian Particle Filter
State estimation in non-linear models is performed by tracking the posterior distribution recursively.
Parametric Models for DOA Trajectory Localization
In this paper, we propose a signal model that captures the linear variations in DOA within a block.
