Time-frequency learning machines for nonstationarity detection using surrogates. Borgnat, P., Flandrin, P., Richard, C., Ferrari, A., Amoud, H., & Honeine, P. Volume 1, Way, M. J., Scargle, J. D., Ali, K. M., & Srivastava, A. N., editors. Advances in Machine Learning and Data Mining for Astronomy, pages 487-503. CRC Press, Taylor and Francis Group, 2012.
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Paper bibtex 1 download @inbook{borgnat2012time,
author = {Borgnat, Pierre and Flandrin, Patrick and Richard, Cédric and Ferrari, André and Amoud, Hassan and Honeine, Paul},
chapter = {Time-frequency learning machines for nonstationarity detection using surrogates},
date-modified = {2022-04-07 16:34:39 +0200},
editor = {Michael J. Way and Jeffrey D. Scargle and Kamal M. Ali and Ashok N. Srivastava},
keywords = {testing signal stationarity/causality},
pages = {487-503},
publisher = {CRC Press, Taylor and Francis Group},
title = {Advances in Machine Learning and Data Mining for Astronomy},
url_paper = {Articles/borgnat2012time.pdf},
volume = {1},
year = {2012}}Downloads: 1
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