33 citations · 145 across the 50 of their papers we have counts for
10 papers · 1 filter
Signal Processing over Time-Varying Graphs: A Systematic Review
Yi Yan, Jiacheng Hou, Zhenjie Song +1
As irregularly structured data representations, graphs have received a large amount of attention in recent years and have been widely applied to various real-world scenarios such a…
Graph Signal Adaptive Message Passing
Yi Yan, Changran Peng, Ercan Engin Kuruoglu
This paper proposes Graph Signal Adaptive Message Passing (GSAMP), a novel message passing method that simultaneously conducts online prediction, missing data imputation, and noise…
Time-varying Graph Signal Estimation via Dynamic Multi-hop Topologies
Yi Yan, Fengfan Zhao, Ercan Engin Kuruoglu
The assumption of using a static graph to represent multivariate time-varying signals oversimplifies the complexity of modeling their interactions over time. We propose a Dynamic M…
Adaptive Graph Normalized Sign Algorithm
Changran Peng, Yi Yan, Ercan E. Kuruoglu
Efficient and robust prediction of graph signals is challenging when the signals are under impulsive noise and have missing data. Exploiting graph signal processing (GSP) and lever…
Adaptive Spatio-temporal Estimation on the Graph Edges via Line Graph Transformation
Yi Yan, Ercan Engin Kuruoglu
Spatial-temporal estimation of signals on graph edges is challenging because most conventional Graph Signal Processing techniques are defined on the graph nodes. Leveraging the Lin…
Sequential Monte Carlo Graph Convolutional Network for Dynamic Brain Connectivity
Fengfan Zhao, Ercan Engin Kuruoglu
An increasingly important brain function analysis modality is functional connectivity analysis which regards connections as statistical codependency between the signals of differen…
Fast Cauchy-Rician Modelling of SAR Images with Method of Algebraic Moments Estimator
Mutong Li, Ercan Engin Kuruoglu
SAR technology has been intensively implemented for geo-sensing and mapping purposes due to its advantages of high azimuthal resolution and weather-independent operation compared t…
Graph Normalized-LMP Algorithm for Signal Estimation Under Impulsive Noise
Yi Yan, Radwa Adel, Ercan Engin Kuruoglu
In this paper, we introduce an adaptive graph normalized least mean pth power (GNLMP) algorithm for graph signal processing (GSP) that utilizes GSP techniques, including bandlimite…
Adaptive Sign Algorithm for Graph Signal Processing
Yi Yan, Ercan E. Kuruoglu, Mustafa A. Altinkaya
Efficient and robust online processing technique of irregularly structured data is crucial in the current era of data abundance. In this paper, we propose a graph/network version o…
Beyond trans-dimensional RJMCMC with a case study in impulsive data modeling
Oktay Karakuş, Ercan E. Kuruoğlu, Mustafa A. Altınkaya
Reversible jump Markov chain Monte Carlo (RJMCMC) is a Bayesian model estimation method which has been used for trans-dimensional sampling. In this study, we propose utilization of…