3 papers
eess.SP2025
Bayesian Convolutional Neural Networks for Prior Learning in Graph Signal Recovery
Razieh Torkamani, Arash Amini, Hadi Zayyani +1
Graph signal recovery (GSR) is a fundamental problem in graph signal processing, where the goal is to reconstruct a complete signal defined over a graph from a subset of noisy or m…
eess.SP2025
DOA Estimation via Optimal Weighted Low-Rank Matrix Completion
Saeed Razavikia, Mohammad Bokaei, Arash Amini +2
This paper presents a novel method for estimating the direction of arrival (DOA) for a non-uniform and sparse linear sensor array using the weighted lifted structure low-rank matri…
cs.LG2024
Clustering Time Series Data with Gaussian Mixture Embeddings in a Graph Autoencoder Framework
Amirabbas Afzali, Hesam Hosseini, Mohmmadamin Mirzai +1
Time series data analysis is prevalent across various domains, including finance, healthcare, and environmental monitoring. Traditional time series clustering methods often struggl…