A New Windowed Graph Fourier Transform
Big data analytics has become an industry due to the fact that massive datasets have been increasingly recorded over the last two decades and that they can be smartly mined to discover valuable information. This opens an emerging topic called “graph signal processing” (GSP) [1] which can be seen a...
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| Main Authors: | , |
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| 格式: | Conference paper |
| 語言: | English |
| 出版: |
2019
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| 在線閱讀: | http://repository.vnu.edu.vn/handle/VNU_123/67101 |
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| 機構: | Vietnam National University, Hanoi |
| 語言: | English |
| 總結: | Big data analytics has become an industry due to the fact that massive datasets have been increasingly
recorded over the last two decades and that they can be smartly mined to discover valuable information.
This opens an emerging topic called “graph signal processing” (GSP) [1] which can be seen as inter-section of graph theory and computational harmonic analysis. GSP is strongly related to frequency analysis in which the windowed Fourier dictionary in general and the Fourier transform in particular not only plays important roles, but also is one of the most ac-cessible techniques. In this work, we are interested in generalizing the STFT to its counterpart in vertex-frequency graph signal processing, which is called windowed graph Fourier transform (Windowed GFT) |
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