Lp quasi-norm minimization: algorithm and applications

Lp quasi-norm minimization: algorithm and applications

Abstract Sparsity finds applications in diverse areas such as statistics, machine learning, and signal processing. Computations over sparse structures are less complex compared to their dense counterparts and need less storage. This paper proposes a heuristic method for retrieving sparse approximate...

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Bibliographic Details
Main Authors: Omar M. Sleem, M. E. Ashour, N. S. Aybat, Constantino M. Lagoa
Format: Article
Language:English
Published: SpringerOpen 2024-02-01
Series:EURASIP Journal on Advances in Signal Processing
Subjects:
Sparsity
Compressed sensing
Rank minimization
Alternating direction method of multipliers
System identification
Matrix completion
Online Access:https://doi.org/10.1186/s13634-024-01114-6

Internet

https://doi.org/10.1186/s13634-024-01114-6

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