Browsing by Author Nguyen, Linh-Trung

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  • LTThanh_WindowedGFT_Poster_RS2017.pdf.jpg
  • Conference paper


  • Authors: Le, Trung-Thanh; Nguyen, Linh-Trung (2017)

  • 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 ...

  • Poster_A New Windowed Graph Fourier Transform.pdf.jpg
  • Conference paper


  • Authors: Le, Trung-Thanh; Nguyen, Linh-Trung; Tran, Thi Thuy Quynh; Karim, Abed-Meraim (2017)

  • Considering graph signal processing (GSP) as an extended version of classical signal processing, definition of fundamental concepts such as spectral, Fourier transform, generalized operators and so forth for graph setting is highly beneficial and meaningful to get a deep understand of graph signals. In this paper, we concentrate on graph spectral analysis to aim at revealing hidden information of signals (data). In particular, we first define two new operators for GSP including translation and modulation, before introducing a new way to obtain the windowed graph Fourier transform called by namely Short Time Fourier Transform in classical setting. The experiment results indicate...

Browsing by Author Nguyen, Linh-Trung

Jump to: 0-9 A B C D E F G H I J K L M N O P Q R S T U V W X Y Z
or enter first few letters:  
Showing results 1 to 2 of 2
  • LTThanh_WindowedGFT_Poster_RS2017.pdf.jpg
  • Conference paper


  • Authors: Le, Trung-Thanh; Nguyen, Linh-Trung (2017)

  • 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 ...

  • Poster_A New Windowed Graph Fourier Transform.pdf.jpg
  • Conference paper


  • Authors: Le, Trung-Thanh; Nguyen, Linh-Trung; Tran, Thi Thuy Quynh; Karim, Abed-Meraim (2017)

  • Considering graph signal processing (GSP) as an extended version of classical signal processing, definition of fundamental concepts such as spectral, Fourier transform, generalized operators and so forth for graph setting is highly beneficial and meaningful to get a deep understand of graph signals. In this paper, we concentrate on graph spectral analysis to aim at revealing hidden information of signals (data). In particular, we first define two new operators for GSP including translation and modulation, before introducing a new way to obtain the windowed graph Fourier transform called by namely Short Time Fourier Transform in classical setting. The experiment results indicate...