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

2 School of Engineering [Aalto]

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-03105795
Contributor : Frédéric Pascal <>
Submitted on : Monday, January 11, 2021 - 12:59:36 PM
Last modification on : Tuesday, July 20, 2021 - 3:06:52 AM

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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