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A short-graph fourier transform via personalized pagerank vectors

Publication ,  Conference
Tepper, M; Sapiro, G
Published in: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
May 18, 2016

The short-time Fourier transform (STFT) is widely used to analyze the spectra of temporal signals that vary through time. Signals defined over graphs, due to their intrinsic complexity, exhibit large variations in their patterns. In this work we propose a new formulation for an STFT for signals defined over graphs. This formulation draws on recent ideas from spectral graph theory, using personalized PageRank vectors as its fundamental building block. Furthermore, this work establishes and explores the connection between local spectral graph theory and localized spectral analysis of graph signals. We accompany the presentation with synthetic and real-world examples, showing the suitability of the proposed approach.

Duke Scholars

Published In

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

DOI

ISSN

1520-6149

Publication Date

May 18, 2016

Volume

2016-May

Start / End Page

4806 / 4810
 

Citation

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Tepper, M., & Sapiro, G. (2016). A short-graph fourier transform via personalized pagerank vectors. In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings (Vol. 2016-May, pp. 4806–4810). https://doi.org/10.1109/ICASSP.2016.7472590
Tepper, M., and G. Sapiro. “A short-graph fourier transform via personalized pagerank vectors.” In ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, 2016-May:4806–10, 2016. https://doi.org/10.1109/ICASSP.2016.7472590.
Tepper M, Sapiro G. A short-graph fourier transform via personalized pagerank vectors. In: ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2016. p. 4806–10.
Tepper, M., and G. Sapiro. “A short-graph fourier transform via personalized pagerank vectors.” ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings, vol. 2016-May, 2016, pp. 4806–10. Scopus, doi:10.1109/ICASSP.2016.7472590.
Tepper M, Sapiro G. A short-graph fourier transform via personalized pagerank vectors. ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. 2016. p. 4806–4810.

Published In

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

DOI

ISSN

1520-6149

Publication Date

May 18, 2016

Volume

2016-May

Start / End Page

4806 / 4810