Results 141 to 150 of about 4,180,610 (156)

Community-Aware Graph Signal Processing: Modularity Defines New Ways of Processing Graph Signals [PDF]

open access: yesIEEE Signal Processing Magazine, 2020
The emerging field of graph signal processing (GSP) allows one to transpose classical signal processing operations (e.g., filtering) to signals on graphs.
Miljan Petrović   +2 more
exaly   +2 more sources

Wide-Sense Stationarity in Generalized Graph Signal Processing [PDF]

open access: yesIEEE Transactions on Signal Processing, 2022
We consider statistical graph signal processing (GSP) in a generalized framework where each vertex of a graph is associated with an element from a Hilbert space.
Wee Peng Tay, Xingchao Jian
exaly   +2 more sources

Graph Signal Processing: Overview, Challenges, and Applications

open access: yesProceedings of the IEEE, 2018
Research in graph signal processing (GSP) aims to develop tools for processing data defined on irregular graph domains. In this paper, we first provide an overview of core ideas in GSP and their connection to conventional digital signal processing, along
Antonio Ortega   +2 more
exaly   +2 more sources

A Hilbert Space Theory of Generalized Graph Signal Processing

open access: yesIEEE Transactions on Signal Processing, 2019
Graph signal processing (GSP) has become an important tool in many areas such as image processing, networking learning and analysis of social network data.
Wee Peng Tay, Feng Ji
exaly   +2 more sources
Some of the next articles are maybe not open access.

Related searches:

Weighted Vector Visibility based Graph Signal Processing (WVV-GSP) for Neural Decoding of Motor Imagery EEG signals

2022 IEEE 19th India Council International Conference (INDICON), 2022
Priyanka Mathur, Chakka Vijay Kumar
exaly   +2 more sources

A graph signal processing‐based multiple model Kalman filter (GSP‐MMKF) tool for predictive analytics: An air separation unit process application

Journal of Advanced Manufacturing and Processing, 2022
AbstractThe industrial Air Separations Unit (ASU) is a complicated and tightly operated process. The use of dynamic process analytics is also a key element of safe and economic operation of these processes, with increasing focus on predictive analytics to take preemptive actions.
Sambit Ghosh   +5 more
openaire   +1 more source

Graph Signal Processing for Heterogeneous Change Detection

IEEE Transactions on Geoscience and Remote Sensing, 2022
Dongdong Guan, Yuli Sun
exaly  

A Variable Parameter LMS Algorithm Based on Generalized Maximum Correntropy Criterion for Graph Signal Processing

IEEE Transactions on Signal and Information Processing Over Networks, 2023
Shaohui Lv, Haiquan Zhao
exaly  

Efficient image steganography using graph signal processing

IET Image Processing, 2018
Devesh Kumar Srivastava   +1 more
exaly  

Home - About - Disclaimer - Privacy