Special issue on statistical signal processing solutions and advances for data science: Complex, dynamic and large-scale settings

Michael Muma; Esa Ollila; Frédéric Pascal

doi:10.1016/j.sigpro.2020.107892

Journal articles

Special issue on statistical signal processing solutions and advances for data science: Complex, dynamic and large-scale settings

Michael Muma ¹ Esa Ollila ² Frédéric Pascal ³

1 TU Darmstadt - Technische Universität Darmstadt - Technical University of Darmstadt

2 Aalto University

3 L2S - Laboratoire des signaux et systèmes

Document type :

Journal articles

Domain :

Computer Science [cs] / Signal and Image Processing

Statistics [stat] / Other Statistics [stat.ML]

Statistics [stat] / Applications [stat.AP]

Complete list of metadata

https://hal-centralesupelec.archives-ouvertes.fr/hal-03436657
Contributor : Frédéric Pascal Connect in order to contact the contributor
Submitted on : Friday, November 19, 2021 - 2:33:22 PM
Last modification on : Wednesday, September 7, 2022 - 3:36:04 PM

Special issue on statistical signal processing solutions and advances for data science: Complex, dynamic and large-scale settings

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Special issue on statistical signal processing solutions and advances for data science: Complex, dynamic and large-scale settings

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