Vertex-Frequency Analysis of Graph Signals

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Stanković, Ljubiša (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Sejdić, Ervin (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
• Έκδοση: 1st ed. 2019.
• Σειρά: Signals and Communication Technology,
• Θέματα: Signal processing.; Image processing.; Speech processing systems.; Graph theory.; Physics.; Neurosciences.; Signal, Image and Speech Processing.; Graph Theory.; Applications of Graph Theory and Complex Networks.

This book introduces new methods to analyze vertex-varying graph signals. In many real-world scenarios, the data sensing domain is not a regular grid, but a more complex network that consists of sensing points (vertices) and edges (relating the sensing points). Furthermore, sensing geometry or sign...

Πίνακας περιεχομένων:

• Introduction to Graph Signal Processing
• Oversampled Graph Laplacian Matrix for Graph Filter Banks
• Toward an Uncertainty Principle for Weighted Graphs
• Graph Theoretic Uncertainty and Feasibility
• Signal-Adapted Tight Frames on Graphs
• Local Spectral Analysis of the Cerebral Cortex: New Gyrification Indices
• Intrinsic Geometric Information Transfer Learning on Multiple Graph-Structured Datasets.