Wed AM1.P: Detection and Estimation Methods I
Wed, 6 Sep, 10:30 - 12:30 Finland Time (UTC +3)
Location: Fennia Foyer
Session Type: Poster
Session Chair: Paolo Di Lorenzo, Sapienza University of Rome
Track: TMTSP - Theoretical and Methodological Trends in Signal Processing

Wed AM1.P.1: Parametric Dictionary Learning for Topological Signal Representation

Claudio Battiloro, Paolo Di Lorenzo, Sapienza University of Rome, Italy; Alejandro Ribeiro, University of Pennsylvania, United States

Wed AM1.P.2: AIRGNNS: GRAPH NEURAL NETWORKS OVER THE AIR

Zhan Gao, University of Cambridge, United Kingdom; Deniz Gunduz, Imperial College London, United Kingdom

Wed AM1.P.3: A Unified View Between Tensor Hypergraph Neural Networks And Signal Denoising

Fuli Wang, Karelia Pena-Pena, Wei Qian, Gonzalo Arce, University of Delaware, United States

Wed AM1.P.4: Graph-Based Matrix Completion Applied to Weather Data

Benoît Loucheur, Pierre-Antoine Absil, ICTEAM Institute, Belgium; Michel Journée, Royal Meteorological Institute, Belgium

Wed AM1.P.5: YULE-WALKER-BASED APPROACHES FOR ESTIMATION OF NOISE-CORRUPTED PERIODIC AUTOREGRESSIVE MODEL - FINITE- AND INFINITE-VARIANCE CASES

Wojciech Żuławiński, Agnieszka Wyłomańska, Radosław Zimroz, Wroclaw University of Science and Technology, Poland

Wed AM1.P.6: Deconvolution of cyclo-stationary processes using higher-order cross-frequency correlation

Arvid Trapp, Peter Wolfsteiner, Munich University of Applied Sciences, Germany

Wed AM1.P.7: ESTIMATING JOINT PROBABILITY DISTRIBUTION WITH LOW-RANK TENSOR DECOMPOSITION, RADON TRANSFORMS AND DICTIONARIES

Pranava Singhal, Waqar Mirza, Ajit Rajwade, IIT Bombay, India; Karthik S. Gurumoorthy, U.S. Omni Tech Walmart Global Tech, India

Wed AM1.P.8: Coherence Expectation Minimisation and Combining Weighted Multitaper Estimates

Oskar Keding, Maria Åkesson, Maria Sandsten, Lund University, Sweden