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In graph signal processing (GSP), prior information on the dependencies in the signal is collected in a graph which is then used when processing or analyzing the signal.
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2010
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2011
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J. Miettinen, K. Nordhausen, H. Oja, and S. Taskinen, “Statistical properties of a blind source separation estimator for stationary time series,” Statistics and Probability Letters
2012
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2017
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N. Perraudin and P. Vandergheynst, “Stationary signal processing on graphs,” IEEE Transactions on Signal Processing
2017
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2017
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2017
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2017
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J. Miettinen, S.A. Vorobyov and E. Ollila, “Graph error effect in graph signal processing,” in Proc. International Conference on Acoustics, Speech and Signal Processing,
2018
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S. Grotas, Y. Yakoby, I. Gera, and T. Routtenberg, “Power systems topology and state estimation by graph blind source separation,” IEEE Transactions on Signal Processing
2019
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2019
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J. Miettinen, S.A. Vorobyov, and E. Ollila, “Blind source separation of graph signals,” in Proc. IEEE Int. Conf. Acoust., Speech, Signal Process
2020
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