Signal decomposition using masked proximal operators:

In this monograph, the well-studied problem of decomposing a vector time series signal into components with different characteristics, such as smooth, periodic, nonnegative, or sparse are covered.

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Bibliographische Detailangaben
Hauptverfasser: Meyers, Bennet E. (VerfasserIn), Boyd, Stephen P. 1958- (VerfasserIn)
Format: Elektronisch E-Book
Sprache:English
Veröffentlicht: Boston ; Delft Now Publishers 2023
Schriftenreihe:Foundations and trends in signal processing Vol. 17, no. 1
Online-Zugang:TUM01
Zusammenfassung:In this monograph, the well-studied problem of decomposing a vector time series signal into components with different characteristics, such as smooth, periodic, nonnegative, or sparse are covered.
Beschreibung:Description based on publisher supplied metadata and other sources
Beschreibung:1 online resource (86 pages)
ISBN:9781638281030

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