Results 121 to 130 of about 12,752 (151)

Graph Signal Processing for Anomaly Detection in Cooperative Power Spectrum Estimation

International Conference on Information Technology, Computer, and Electrical Engineering
Classical signal processing generally deals with one-dimensional, such as time-domain, signals. However, many real world signals are multi-dimensional and might be defined on complex and irregular structures modeled as graphs.
Ayu Oktaviani Dewi, D. D. Ariananda, S. B. Wibowo   +2 more
semanticscholar   +1 more source

Graph Signal Processing: The 2D Companion Model

IEEE International Conference on Acoustics, Speech, and Signal Processing
Many Graph Signal Processing (GSP) applications consider product graphs, the product of smaller graphs. For example, with time-varying graph data, the graph shift can be the (Cartesian) product of a space graph and the cyclic time shift.
John Shi, José M. F. Moura
semanticscholar   +1 more source

Sampling in the Graph Signal Processing Companion Model

International Conference on Security and Management
The classic DSP sampling property: “(Uniform) sampling of a bandlimited signal leads to (perfect) replication in the spectral domain.” does not hold in the vertex Graph Signal Processing (GSP) model.
John Shi, José M. F. Moura
semanticscholar   +1 more source

Multidimensional Data Classification using Graph Signal Processing

2024 IEEE 9th International Conference for Convergence in Technology (I2CT)
Conventional classification methods encounter difficulties in handling non-linear relationships and high-dimensional feature spaces, highlighting the need for alternative approaches.Graph Signal Processing (GSP) has attracted many researchers the recent ...
Pratistha Gaur, Prrathyush Kedeelaya, Aishwary Anurag, C. Babu   +3 more
semanticscholar   +1 more source

Social Attribute Based Graph Signal Processing for Social Recommendation

Proceedings of the 3rd International Conference on Computer, Artificial Intelligence and Control Engineering
The rise of social network platforms has dramatically changed people's lifestyles, making social recommender systems known as another hot research direction in the field of recommender systems.
Linlei Wang, Bing Lin, Xun Zhang
semanticscholar   +1 more source

Emotional States Detection Using Electrodermal Activity and Graph Signal Processing

International Conference on Wearable and Implantable Body Sensor Networks
This study introduces a novel Graph Signal Processing (GSP) method to analyze Electrodermal Activity (EDA) signals for emotional state detection. EDA, influenced by the sympathetic nervous system, is a sensitive indicator of emotional states but is ...
Luís Roberto Mercado Díaz, Y. R. Veeranki, Fernando Marmolejo-Ramos, Hugo F. Posada-Quintero   +3 more
semanticscholar   +1 more source

Introducing Edge-Wise Graph Signal Processing: Application to Connectome Fingerprinting

IEEE International Symposium on Biomedical Imaging
Graph signal processing (GSP) enables the principled study of signals that live on an underlying graph. In magnetic resonance imaging, this graph classically describes structural connectivity between brain regions, while the signals of interest are ...
T. Bolton, Mikkel Schöttner, Jagruti Patel, P. Hagmann   +3 more
semanticscholar   +1 more source

Graph Signal Processing for Compositional Data

Asilomar Conference on Signals, Systems and Computers
The field of graph signal processing (GSP) offers numerous methodologies for handling data whose domain is captured by graphs. In this work, we introduce novel GSP concepts that are tailored to compositional data, a type of data that represents parts of ...
Dimitrios Kalodikis, Gerald Matz
semanticscholar   +1 more source

Enhancing convolution recurrent network with graph signal processing: High suppressive interference mitigation

China Communications
In this paper, we propose a novel graph signal processing convolution recurrent network (GSP CRN) for signal enhancement against high suppressive interference (HSI) in wireless communications.
Pengcheng Guo, Yu Miao, Miaomiao Gu, Bingyin Ren   +3 more
semanticscholar   +1 more source

Preliminary Study on Application of Graph Signal Processing to Satellite Adaptive Optics

2025 IEEE International Conference on Space Optical Systems and Applications (ICSOS)
Y. Abe, Ken-ichi Sakabe
semanticscholar   +1 more source