학술논문
Lp quasi-norm minimization: algorithm and applications
Document Type
article
Source
EURASIP Journal on Advances in Signal Processing, Vol 2024, Iss 1, Pp 1-28 (2024)
Subject
Language
English
ISSN
1687-6180
Abstract
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 solutions of optimization problems via minimizing the $$\ell _{p}$$ ℓ p quasi-norm, where $$0