Results 131 to 140 of about 5,709,929 (152)

Optimized topology control for large-scale IoT networks using graph-based localization. [PDF]

Sci Rep
Dey I, Marchetti N.
europepmc   +1 more source

Paternally multi-generational high-fat diet causes obesity and metabolic disorder through intergenerational DNA methylation. [PDF]

Front Nutr
Guo T, Hu Z, Bao L, Cao Y, Chu Z, Wang M, Li Y, Luo F.   +7 more
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Structure-Function Dynamics in Healthy Cognitive Aging: A Graph Signal Processing Approach

Guichet C, Achard S, Mermillod M, Baciu M.   +3 more
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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, Vijay Kumar Chakka, Vidhi Garg   +2 more
openaire   +3 more sources

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

IEEE 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, Thomas A. W. Bolton, Dimitri Van De Ville   +2 more
exaly   +2 more sources

Graph Signal Processing: Overview, Challenges, and Applications

Proceedings 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, Pascal Frossard, Pierre Vandergheynst   +2 more
exaly   +2 more sources

A Hilbert Space Theory of Generalized Graph Signal Processing

IEEE 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

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, Lucky E. Yerimah, Yajun Wang, Yanan Cao, Jesus Flores‐Cerrillo, B. Wayne Bequette   +5 more
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Graph Spectral Image Processing [PDF]

Proceedings of the IEEE, 2018
Recent advent of graph signal processing (GSP) has spurred intensive studies of signals that live naturally on irregular data kernels described by graphs (e.g., social networks, wireless sensor networks).
Michael Ng, Enrico Magli, Gene Cheung
exaly   +2 more sources