| 書目名稱 | Vertex-Frequency Analysis of Graph Signals |
| 編輯 | Ljubi?a Stankovi?,Ervin Sejdi? |
| 視頻video | http://file.papertrans.cn/983/982357/982357.mp4 |
| 概述 | Introduces graph signal processing.Provides novel algorithms that can be used to analyse vertex-varying graph signals.Explains how these new methods can be applied to increase our understanding of the |
| 叢書名稱 | Signals and Communication Technology |
| 圖書封面 |  |
| 描述 | .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 signal properties define the relation among sensed signal points. Even for the data sensed in the well-defined time or space domain, the introduction of new relationships among the sensing points may produce new insights in the analysis and result in more advanced data processing techniques. The data domain, in these cases and discussed in this book, is defined by a graph. Graphs exploit the fundamental relations among the data points. Processing of signals whose sensing domains are defined by graphs resulted in graph data processing as an emerging field in signal processing..Although signal processing techniques for the analysis of time-varying signals are well established, the corresponding graph signal processing equivalent approaches are still in their infancy. This book presents novel approaches to analyze vertex-varying graph signals. The vertex-frequency analysis methods use the Lapl |
| 出版日期 | Book 2019 |
| 關(guān)鍵詞 | Spectral Graph Theory; Graph Signal Processing; Network theory; Vertex-frequency Analysis; Graph Theory |
| 版次 | 1 |
| doi | https://doi.org/10.1007/978-3-030-03574-7 |
| isbn_ebook | 978-3-030-03574-7Series ISSN 1860-4862 Series E-ISSN 1860-4870 |
| issn_series | 1860-4862 |
| copyright | Springer Nature Switzerland AG 2019 |
|Archiver|手機(jī)版|小黑屋|
派博傳思國(guó)際
( 京公網(wǎng)安備110108008328)
GMT+8, 2025-10-7 19:48
發(fā)表于 2025-3-21 20:08:01
