@INPROCEEDINGS{perraudin2017towards,
author={N. Perraudin and A. Loukas and F. Grassi and P. Vandergheynst},
booktitle={2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)},
title={Towards stationary time-vertex signal processing},
year={2017},
volume={},
number={},
pages={3914-3918},
keywords={graph theory;learning (artificial intelligence);signal processing;statistical analysis;graph signal processing;graph-based methods;scalable Wiener optimization framework;semisupervised learning;stationary time-vertex signal processing;statistical analysis;time dimension;time stationarity;Correlation;Estimation;Fourier transforms;Harmonic analysis;Laplace equations;Time-frequency analysis;Graph signal processing;Wiener filter;joint stationarity;time-vertex signal processing},
doi={10.1109/ICASSP.2017.7952890},
ISSN={},
month={March},}