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 Signal Processing Year : 2021

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

(1) , (2) , (3)

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Michael Muma

Function : Author

Technische Universität Darmstadt - Technical University of Darmstadt

Esa Ollila

Function : Author
PersonId : 773024
ORCID : 0000-0002-0898-5313

Aalto University

Frédéric Pascal

Function : Author
PersonId : 6713
IdHAL : frederic-pascal
ORCID : 0000-0003-0196-6395
IdRef : 111704898

Laboratoire des signaux et systèmes

CV

Domains

Computer Science [cs] Signal and Image Processing Statistics [stat] Other Statistics [stat.ML] Statistics [stat] Applications [stat.AP]

Frédéric Pascal : Connect in order to contact the contributor

https://hal-centralesupelec.archives-ouvertes.fr/hal-03436657

Submitted on : Friday, November 19, 2021-2:33:22 PM

Last modification on : Wednesday, September 7, 2022-3:36:04 PM

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hal-03436657 , version 1 (19-11-2021)

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HAL Id : hal-03436657 , version 1
DOI : 10.1016/j.sigpro.2020.107892

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Michael Muma, Esa Ollila, Frédéric Pascal. Special issue on statistical signal processing solutions and advances for data science: Complex, dynamic and large-scale settings. Signal Processing, 2021, 182, pp.107892. ⟨10.1016/j.sigpro.2020.107892⟩. ⟨hal-03436657⟩

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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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