Method for Sparse Representation of Complex Data Based on Overcomplete Basis, <i>l</i><sub>1</sub> Norm, and Neural MFNN-like Network

Method for Sparse Representation of Complex Data Based on Overcomplete Basis, <i>l</i><sub>1</sub> Norm, and Neural MFNN-like Network

The article presents the results of research into a method for representing complex data based on an overcomplete basis and <i>l</i><sub>0</sub>/<i>l</i><sub>1</sub> norms. The proposed method is an extended modification of the neural-like MFNN (minimu...

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Bibliografische gegevens
Hoofdauteurs: Nikolay V. Panokin, Artem V. Averin, Ivan A. Kostin, Alexander V. Karlovskiy, Daria I. Orelkina, Anton Yu. Nalivaiko
Formaat: Artikel
Taal:English
Gepubliceerd in: MDPI AG 2024-02-01
Reeks:Applied Sciences
Onderwerpen:
overcomplete basis
norms <i>l</i><sub>0</sub> <i>l</i><sub>1</sub>
MFNN
neural network
complex data
uniform linear array (ULA)
Online toegang:https://www.mdpi.com/2076-3417/14/5/1959

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https://www.mdpi.com/2076-3417/14/5/1959

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